From f044b1443263086a80d9652f2debdf959377ab73 Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Thu, 19 Mar 2026 10:08:10 +0100 Subject: [PATCH 01/41] delete old folders --- bin/old/clean_count_data.py | 132 ----------- bin/old/get_gene_lengths_from_ensembl_api.py | 133 ----------- bin/old/normalise_with_deseq2.R | 212 ------------------ bin/old/normalise_with_edger.R | 191 ---------------- modules/local/old/clean_count_data/main.nf | 36 --- .../local/old/clean_count_data/spec-file.txt | 40 ---- modules/local/old/deseq2/main.nf | 30 --- modules/local/old/deseq2/spec-file.txt | 190 ---------------- .../old/download_genome_annotation/main.nf | 27 --- .../download_genome_annotation/spec-file.txt | 12 - .../download_ncbi_annotation/environment.yml | 9 - .../old/download_ncbi_annotation/main.nf | 33 --- modules/local/old/edger/main.nf | 29 --- modules/local/old/edger/spec-file.txt | 101 --------- .../old/get_annotation_accession/main.nf | 32 --- .../get_annotation_accession/spec-file.txt | 53 ----- .../old/normalise_microarray/environment.yml | 11 - 17 files changed, 1271 deletions(-) delete mode 100755 bin/old/clean_count_data.py delete mode 100755 bin/old/get_gene_lengths_from_ensembl_api.py delete mode 100755 bin/old/normalise_with_deseq2.R delete mode 100755 bin/old/normalise_with_edger.R delete mode 100644 modules/local/old/clean_count_data/main.nf delete mode 100644 modules/local/old/clean_count_data/spec-file.txt delete mode 100644 modules/local/old/deseq2/main.nf delete mode 100644 modules/local/old/deseq2/spec-file.txt delete mode 100644 modules/local/old/download_genome_annotation/main.nf delete mode 100644 modules/local/old/download_genome_annotation/spec-file.txt delete mode 100644 modules/local/old/download_ncbi_annotation/environment.yml delete mode 100644 modules/local/old/download_ncbi_annotation/main.nf delete mode 100644 modules/local/old/edger/main.nf delete mode 100644 modules/local/old/edger/spec-file.txt delete mode 100644 modules/local/old/get_annotation_accession/main.nf delete mode 100644 modules/local/old/get_annotation_accession/spec-file.txt delete mode 100644 modules/local/old/normalise_microarray/environment.yml diff --git a/bin/old/clean_count_data.py b/bin/old/clean_count_data.py deleted file mode 100755 index 333c1040..00000000 --- a/bin/old/clean_count_data.py +++ /dev/null @@ -1,132 +0,0 @@ -#!/usr/bin/env python3 - -# Written by Olivier Coen. Released under the MIT license. - -import argparse -import logging -import sys -from pathlib import Path - -import config -import polars as pl - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - -# outfile names -ALL_COUNTS_FILTERED_PARQUET_OUTFILENAME = "cleaned_counts_filtered.parquet" - -FAILURE_REASON_FILE = "failure_reason.txt" - - -##################################################### -##################################################### -# FUNCTIONS -##################################################### -##################################################### - - -def parse_args(): - parser = argparse.ArgumentParser( - description="Clean data by removing aberrant samples and performing some other cleaning operations." - ) - parser.add_argument( - "--counts", type=Path, dest="count_file", required=True, help="Count file" - ) - parser.add_argument( - "--ks-stats", - type=Path, - dest="ks_stats_file", - required=True, - help="KS stats file", - ) - parser.add_argument( - "--ks-pvalue-threshold", - type=float, - dest="ks_pvalue_threshold", - required=True, - help="KS p-value threshold", - ) - return parser.parse_args() - - -def get_count_columns(lf: pl.LazyFrame) -> list[str]: - """Get all column names except the config.GENE_ID_COLNAME column. - - The config.GENE_ID_COLNAME column contains only gene IDs. - """ - return lf.select(pl.exclude(config.GENE_ID_COLNAME)).collect_schema().names() - - -def get_counts( - file: Path, -) -> pl.DataFrame: - # sorting dataframe (necessary to get consistent output) - return pl.read_parquet(file).sort(config.GENE_ID_COLNAME, descending=False) - - -def remove_samples_with_low_ks_pvalue( - count_lf: pl.DataFrame, ks_stats_file: Path, ks_pvalue_threshold: float -) -> pl.DataFrame: - ks_stats_df = pl.read_csv(ks_stats_file, has_header=True).select( - [config.SAMPLE_COLNAME, config.KS_TEST_COLNAME] - ) - - # logging number of samples excluded from analysis - not_valid_samples = ks_stats_df.filter( - ks_stats_df[config.KS_TEST_COLNAME] <= ks_pvalue_threshold - )[config.SAMPLE_COLNAME].to_list() - - if not_valid_samples: - logger.warning( - f"Excluded {len(not_valid_samples)} samples showing a KS p-value below {ks_pvalue_threshold}" - ) - else: - logger.info("No sample was excluded") - - # getting samples for which the Kolmogorov-Smirnov test pvalue is above the threshold - valid_samples = ks_stats_df.filter( - ks_stats_df[config.KS_TEST_COLNAME] > ks_pvalue_threshold - )[config.SAMPLE_COLNAME].to_list() - - if not valid_samples: - logger.warning("No more valid sample to process...") - msg = "COUNT FILE IS EMPTY" - logger.warning(msg) - with open(FAILURE_REASON_FILE, "w") as f: - f.write(msg) - sys.exit(0) - - # filtering the count dataframe to keep only the valid samples - return count_lf.select([config.GENE_ID_COLNAME] + valid_samples) - - -def export_data(all_counts_lf: pl.DataFrame): - all_counts_lf.write_parquet(ALL_COUNTS_FILTERED_PARQUET_OUTFILENAME) - logger.info("Done") - - -##################################################### -##################################################### -# MAIN -##################################################### -##################################################### - - -def main(): - args = parse_args() - - # putting all counts into a single dataframe - count_lf = get_counts(args.count_file) - - # removing aberrant samples (ks p-value under the threshold) - count_lf = remove_samples_with_low_ks_pvalue( - count_lf, args.ks_stats_file, args.ks_pvalue_threshold - ) - - # exporting computed data - export_data(count_lf) - - -if __name__ == "__main__": - main() diff --git a/bin/old/get_gene_lengths_from_ensembl_api.py b/bin/old/get_gene_lengths_from_ensembl_api.py deleted file mode 100755 index 9cfe9a68..00000000 --- a/bin/old/get_gene_lengths_from_ensembl_api.py +++ /dev/null @@ -1,133 +0,0 @@ -#!/usr/bin/env python3 - -# Written by Olivier Coen. Released under the MIT license. - -import argparse -import json -import logging -from pathlib import Path - -import config -import pandas as pd -import requests -from tenacity import ( - before_sleep_log, - retry, - stop_after_delay, - wait_exponential, -) -from tqdm.contrib.concurrent import process_map - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - -GENE_IDS_CHUNKSIZE = 50 # max allowed by Ensembl REST API - -ENSEMBL_REST_SERVER = "https://rest.ensembl.org" -SEQUENCE_INFO_EXT = "/sequence/id" -HEADERS = { - "Content-Type": "application/json", - "Accept": "application/json", -} -STOP_RETRY_AFTER_DELAY = 600 - -OUTFILE = "gene_ids_lengths.csv" - - -################################################################## -################################################################## -# FUNCTIONS -################################################################## -################################################################## - - -def parse_args(): - parser = argparse.ArgumentParser("Get GEO Datasets accessions") - parser.add_argument( - "--genes", - type=Path, - dest="gene_file", - required=True, - help="File containing gene IDs", - ) - return parser.parse_args() - - -# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -# QUERIES TO ENSEMBL -# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -@retry( - stop=stop_after_delay(STOP_RETRY_AFTER_DELAY), - wait=wait_exponential(multiplier=1, min=1, max=30), - before_sleep=before_sleep_log(logger, logging.WARNING), -) -def send_post_request_to_ensembl(gene_ids: list[str]) -> list[dict]: - data = {"ids": gene_ids, "type": "cdna"} - url = ENSEMBL_REST_SERVER + SEQUENCE_INFO_EXT - response = requests.post(url, headers=HEADERS, data=json.dumps(data)) - if response.status_code == 200: - response.raise_for_status() - else: - raise RuntimeError( - f"Failed to retrieve data: encountered error {response.status_code}" - ) - return response.json() - - -def get_gene_lengths(gene_ids: list[str]) -> list[dict]: - records = send_post_request_to_ensembl(gene_ids) - return [ - { - config.GENE_ID_COLNAME: record["query"], - config.CDNA_LENGTH_COLNAME: len(record["seq"]), - } - for record in records - if record.get("query") is not None and record.get("seq") is not None - ] - - -def chunk_list(lst: list, chunksize: int) -> list: - """Splits a list into chunks of a given size. - - Args: - lst (list): The list to split. - chunksize (int): The size of each chunk. - - Returns: - list: A list of chunks, where each chunk is a list of len(chunksize). - """ - return [lst[i : i + chunksize] for i in range(0, len(lst), chunksize)] - - -################################################################## -################################################################## -# MAIN -################################################################## -################################################################## - - -def main(): - args = parse_args() - - with open(args.gene_file, "r") as fin: - gene_ids = [line.strip() for line in fin] - - gene_id_chunks = chunk_list(gene_ids, GENE_IDS_CHUNKSIZE) - # getting gene lengths chunk by chunk - records_list = process_map(get_gene_lengths, gene_id_chunks, max_workers=12) - # flattening list of lists into a single list - records = [record for sublist in records_list for record in sublist] - - df = pd.DataFrame.from_dict(records) - # taking the length of the longest transcript for each gene - df = df.groupby(config.GENE_ID_COLNAME, as_index=False).agg( - {config.CDNA_LENGTH_COLNAME: "max"} - ) - - df.to_csv(OUTFILE, index=False, header=True) - - -if __name__ == "__main__": - main() diff --git a/bin/old/normalise_with_deseq2.R b/bin/old/normalise_with_deseq2.R deleted file mode 100755 index 40b12a30..00000000 --- a/bin/old/normalise_with_deseq2.R +++ /dev/null @@ -1,212 +0,0 @@ -#!/usr/bin/env Rscript - -# Written by Olivier Coen. Released under the MIT license. -options(error = traceback) -suppressPackageStartupMessages(library("DESeq2")) -library(DESeq2) -library(optparse) - -FAILURE_REASON_FILE <- "failure_reason.txt" -WARNING_REASON_FILE <- "warning_reason.txt" - -##################################################### -##################################################### -# FUNCTIONS -##################################################### -##################################################### - - -get_args <- function() { - - option_list <- list( - make_option("--counts", dest = 'count_file', help = "Path to input count file"), - make_option("--design", dest = 'design_file', help = "Path to input design file") - ) - - args <- parse_args(OptionParser( - option_list = option_list, - description = "Normalize counts using DESeq2" - )) - - return(args) -} - -parse_dataframe <- function(file_path, ...) { - if (grepl("\\.csv$", file_path)) { - data <- read.csv(file_path, ...) - } else if (grepl("\\.tsv$", file_path)) { - data <- read.table(file_path, sep = "\t", header = TRUE, ...) - } else { - write("UNSUPPORTED FILE FORMAT", file = FAILURE_REASON_FILE) - quit(save = "no", status = 0) - } - return(data) -} - -check_samples <- function(count_matrix, design_data) { - # check if the column names of count_matrix match the sample names - if (!all( colnames(count_matrix) == design_data$sample )) { - write("SAMPLE NAMES IN COUNT MATRIX DO NOT MATCH DESIGN DATA", file = FAILURE_REASON_FILE) - quit(save = "no", status = 0) - } - # check for extra samples - extra_samples <- setdiff( colnames(count_matrix), design_data$sample ) - if (length(extra_samples) > 0) { - write( - "THE FOLLOWING SAMPLES ARE IN THE COUNT MATRIX BUT NOT IN DESIGN: ", paste(extra_samples, collapse = ", "), - file = WARNING_REASON_FILE - ) - } -} - -prefilter_counts <- function(count_matrix, design_data) { - if (ncol(count_matrix) == 1) { - keep <- count_matrix[, 1] >= 1 - } else { - # see https://bioconductor.org/packages/devel/bioc/vignettes/DESeq2/inst/doc/DESeq2.html - # getting size of smallest group - group_sizes <- table(design_data$condition) - smallest_group_size <- min(group_sizes) - # keep genes with at least 10 counts over a certain number of samples - keep <- rowSums(count_matrix >= 1) >= smallest_group_size - } - filtered_count_matrix <- count_matrix[keep, , drop = FALSE] # drop = FALSE: keep dataframe structure even if only one column remains - return(filtered_count_matrix) -} - -remove_all_zero_columns <- function(df) { - # remove columns which contains only zeros - df <- df[, colSums(df) != 0, drop = FALSE] - return(df) -} - -replace_zero_counts_with_pseudocounts <- function(count_matrix) { - # Add a small pseudocount of 1 to avoid zero counts - # necessary to avoid issues with rows containing lots of (but not only) zeros - # DESeq2 does not allow float (like 0.01) counts so we must use integers - count_matrix[count_matrix == 0] <- 1 - return(count_matrix) -} - -get_normalised_counts <- function(dds) { - # perform normalisation - dds <- estimateSizeFactors(dds) - normalised_counts <- counts(dds, normalized = TRUE) - return(normalised_counts) -} - - -get_cpm_counts <- function(normalised_counts, filtered_count_matrix) { - # calculate total counts per sample (library size) - library_sizes <- colSums(filtered_count_matrix) - # convert normalised counts to CPM - cpm_counts <- t(t(normalised_counts) / library_sizes * 1e6) - # cpm_counts <- log2(cpm_counts) - return(cpm_counts) -} - -get_normalised_cpm_counts <- function(count_file, design_file) { - - message("Parsing count file") - count_data <- parse_dataframe(count_file, row.names = 1) - - # data should all be integers but sometimes they are integers converted to floats (1234 -> 1234.0) - # DESeq2 does not accept that so we must convert them into integers - count_data[] <- lapply(count_data, as.integer) - - count_matrix <- as.matrix(count_data) - - # in some rare datasets, columns can contain only zeros - # we do not consider these columns - message("Removing columns with all zeros") - count_matrix <- remove_all_zero_columns(count_matrix) - - if (ncol(count_matrix) == 0) { - message("All columns were full of zeros.") - write("ALL COLUMNS WERE FULL OF ZEROS", file = FAILURE_REASON_FILE) - quit(save = "no", status = 0) - } - - # getting design data - message("Parsing design file") - design_data <- parse_dataframe(design_file) - - # removing extra samples in design table - message("Removing extra samples in design table") - design_data <- design_data[design_data$sample %in% colnames(count_matrix), , drop = FALSE] - - if (nrow(design_data) == 0) { - message("Design and sample names do not match.") - write("DESIGN AND SAMPLE NAMES DO NOT MATCH", file = FAILURE_REASON_FILE) - quit(save = "no", status = 0) - } - - # check if the column names of count_matrix match the sample names - message("Checking sample names") - check_samples(count_matrix, design_data) - - # reorder count matrix columns to match design row order - # this is absolutely mandatory - # see https://bioconductor.org/packages/devel/bioc/vignettes/DESeq2/inst/doc/DESeq2.html at part "Count matrix input" - count_matrix <- count_matrix[, as.character(design_data$sample), drop = FALSE] - - # pre-filter genes with low counts - message("Pre-filtering genes") - filtered_count_matrix <- prefilter_counts(count_matrix, design_data) - - # if the dataframe is now empty, stop the process - if (nrow(filtered_count_matrix) == 0) { - message("No genes left after pre-filtering.") - write("NO GENES LEFT AFTER PRE-FILTERING", file = FAILURE_REASON_FILE) - quit(save = "no", status = 0) - } - - # add a small pseudocount to avoid zero counts - message("Replacing zero counts with pseudocounts") - filtered_count_matrix <- replace_zero_counts_with_pseudocounts(filtered_count_matrix) - - # if the number of distinct conditions is only 1, DESeq2 returns an error - message("Creating DESeqDataSet") - col_data <- data.frame( - row.names = design_data$sample, - condition = factor(design_data$condition) - ) - num_unique_conditions <- length(unique(design_data$condition)) - if (num_unique_conditions == 1) { - dds <- DESeqDataSetFromMatrix(countData = filtered_count_matrix, colData = col_data, design = ~ 1) - } else { - dds <- DESeqDataSetFromMatrix(countData = filtered_count_matrix, colData = col_data, design = ~ condition) - } - - message("Normalising counts") - normalised_counts <- get_normalised_counts(dds) - - message("Calculating CPM counts") - cpm_counts <- get_cpm_counts(normalised_counts, filtered_count_matrix) - - return(cpm_counts) -} - -export_data <- function(cpm_counts, filename) { - filename <- sub("\\.(csv|tsv)$", ".cpm.csv", filename) - message(paste('Exporting normalised counts per million to:', filename)) - write.table(cpm_counts, filename, sep = ',', row.names = TRUE, col.names = NA, quote = FALSE) -} - -##################################################### -##################################################### -# MAIN -##################################################### -##################################################### - -args <- get_args() - -if ( is.null(args$design_file) ) { - message("A design dataframe must be provided.") - quit(save = "no", status = 1) -} - -message(paste("Normalising counts in", args$count_file)) -cpm_counts <- get_normalised_cpm_counts(args$count_file, args$design_file) - -export_data(cpm_counts, basename(args$count_file)) diff --git a/bin/old/normalise_with_edger.R b/bin/old/normalise_with_edger.R deleted file mode 100755 index f12d7e74..00000000 --- a/bin/old/normalise_with_edger.R +++ /dev/null @@ -1,191 +0,0 @@ -#!/usr/bin/env Rscript - -# Written by Olivier Coen. Released under the MIT license. - -library(edgeR) -library(optparse) - -FAILURE_REASON_FILE <- "failure_reason.txt" -WARNING_REASON_FILE <- "warning_reason.txt" - -##################################################### -##################################################### -# FUNCTIONS -##################################################### -##################################################### - -get_args <- function() { - - option_list <- list( - make_option("--counts", dest = 'count_file', help = "Path to input count file"), - make_option("--design", dest = 'design_file', help = "Path to input design file") - ) - - args <- parse_args(OptionParser( - option_list = option_list, - description = "Normalize counts using edgeR" - )) - - return(args) -} - -parse_dataframe <- function(file_path, ...) { - if (grepl("\\.csv$", file_path)) { - data <- read.csv(file_path, ...) - } else if (grepl("\\.tsv$", file_path)) { - data <- read.table(file_path, sep = "\t", header = TRUE, ...) - } else { - write("UNSUPPORTED FILE FORMAT", file = FAILURE_REASON_FILE) - quit(save = "no", status = 0) - } - return(data) -} - -remove_all_zero_columns <- function(df) { - # remove columns which contain only zeros - df <- df[, colSums(df) != 0, drop = FALSE] - return(df) -} - -check_samples <- function(count_matrix, design_data) { - # check if the column names of count_matrix match the sample names - if (!all( colnames(count_matrix) == design_data$sample )) { - write("SAMPLE NAMES IN COUNT MATRIX DO NOT MATCH DESIGN DATA", file = FAILURE_REASON_FILE) - quit(save = "no", status = 0) - } - # check for extra samples - extra_samples <- setdiff( colnames(count_matrix), design_data$sample ) - if (length(extra_samples) > 0) { - write( - "THE FOLLOWING SAMPLES ARE IN THE COUNT MATRIX BUT NOT IN DESIGN: ", paste(extra_samples, collapse = ", "), - file = WARNING_REASON_FILE - ) - } -} - -prefilter_counts <- function(count_matrix) { - # remove genes having zeros for all counts - # it is advised to remove them analysis - non_zero_rows <- rownames(count_matrix[apply(count_matrix!=0, 1, any), , drop = FALSE]) - filtered_count_matrix <- count_matrix[rownames(count_matrix) %in% non_zero_rows, , drop = FALSE] - return(filtered_count_matrix) -} - -replace_zero_counts_with_pseudocounts <- function(count_data_matrix) { - # Add a small pseudocount of 0.01 to avoid zero counts - count_data_matrix[count_data_matrix == 0] <- 0.01 - return(count_data_matrix) -} - -filter_out_lowly_expressed_genes <- function(dge) { - # filter the dataframe to exclude rows where the mean is 0 - # filter out lowly expressed genes - keep <- filterByExpr(dge) - dge <- dge[keep, , keep.lib.sizes=FALSE] - return(dge) -} - - -get_cpm_counts <- function(dge) { - cpm_counts <- cpm(dge, normalised.lib.sizes = TRUE) - return(cpm_counts) -} - - -get_normalised_cpm_counts <- function(count_file, design_file) { - - message(paste('Normalizing counts in:', count_file)) - message("Parsing count file") - count_data <- parse_dataframe(count_file, row.names = 1) - - count_matrix <- as.matrix(count_data) - # in some rare datasets, columns can contain only zeros - # we do not consider these columns - message("Removing columns with all zeros") - count_matrix <- remove_all_zero_columns(count_matrix) - - if (ncol(count_matrix) == 0) { - message("All columns were full of zeros.") - write("ALL COLUMNS WERE FULL OF ZEROS", file = FAILURE_REASON_FILE) - quit(save = "no", status = 0) - } - - # getting design data - message("Parsing design file") - design_data <- parse_dataframe(design_file) - # removing extra samples in design table - message("Removing extra samples in design table") - design_data <- design_data[design_data$sample %in% colnames(count_matrix), ] - - if (nrow(design_data) == 0) { - message("Design and sample names do not match.") - write("DESIGN AND SAMPLE NAMES DO NOT MATCH", file = FAILURE_REASON_FILE) - quit(save = "no", status = 0) - } - - # check if the column names of count_matrix match the sample names - message("Checking sample names") - check_samples(count_matrix, design_data) - - # pre-filter genes with low counts - message("Pre-filtering genes") - count_matrix <- prefilter_counts(count_matrix) - # if the dataframe is now empty, stop the process - if (nrow(count_matrix) == 0) { - message("No genes left after pre-filtering.") - write("NO GENES LEFT AFTER PRE-FILTERING", file = FAILURE_REASON_FILE) - quit(save = "no", status = 0) - } - - # Add a small pseudocount to avoid zero counts - message("Replacing zero counts with pseudocounts") - count_matrix_pseudocount <- replace_zero_counts_with_pseudocounts(count_matrix) - - message("Normalising data") - group <- factor(design_data$condition) - dge <- DGEList(counts = count_matrix_pseudocount, group = group) - rownames(dge) <- rownames(count_matrix) - colnames(dge) <- colnames(count_matrix) - - message("Filtering out lowly expressed genes") - dge <- filter_out_lowly_expressed_genes(dge) - - # if the dataframe is now empty, stop the process - if (nrow(dge) == 0) { - message("No genes left after filtering lowly expressed genes.") - write("NO GENES LEFT AFTER FILTERING LOWLY EXPRESSED GENES", file = FAILURE_REASON_FILE) - quit(save = "no", status = 0) - } - - # normalisation - message("Calculating normalisation factors") - dge <- calcNormFactors(dge, method="TMM") - - message("Calculating CPM counts") - cpm_counts <- get_cpm_counts(dge) - - return(cpm_counts) -} - -export_data <- function(cpm_counts, filename) { - filename <- sub("\\.(csv|tsv)$", ".cpm.csv", filename) - message(paste('Exporting normalised counts per million to:', filename)) - write.table(cpm_counts, filename, sep = ',', row.names = TRUE, col.names = NA, quote = FALSE) -} - -##################################################### -##################################################### -# MAIN -##################################################### -##################################################### - -args <- get_args() - -if ( is.null(args$design_file) ) { - message("A design dataframe must be provided.") - quit(save = "no", status = 1) -} - -cpm_counts <- get_normalised_cpm_counts(args$count_file, args$design_file) - -export_data(cpm_counts, basename(args$count_file)) diff --git a/modules/local/old/clean_count_data/main.nf b/modules/local/old/clean_count_data/main.nf deleted file mode 100644 index 0500f78a..00000000 --- a/modules/local/old/clean_count_data/main.nf +++ /dev/null @@ -1,36 +0,0 @@ -process CLEAN_COUNT_DATA { - - label 'process_single' - - tag "${meta.dataset}" - - conda "${moduleDir}/environment.yml" - container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0f/0f8a5d02e7b31980c887253a9f118da0ef91ead1c7b158caf855199e5c5d5473/data': - 'community.wave.seqera.io/library/polars_python:cab787b788e5eba7' }" - - input: - tuple val(meta), path(count_file), path(ks_stats_file) - val ks_pvalue_threshold - - output: - tuple val(meta), path('cleaned_counts_filtered.parquet'), optional: true, emit: counts - tuple val(meta.dataset), path("failure_reason.txt"), optional: true, topic: clean_count_failure_reason - tuple val("${task.process}"), val('python'), eval("python3 --version | sed 's/Python //'"), topic: versions - tuple val("${task.process}"), val('polars'), eval('python3 -c "import polars; print(polars.__version__)"'), topic: versions - - script: - def is_using_containers = workflow.containerEngine ? true : false - """ - # limiting number of threads when using conda / micromamba - if [ "${is_using_containers}" == "false" ]; then - export POLARS_MAX_THREADS=${task.cpus} - fi - - clean_count_data.py \\ - --counts $count_file \\ - --ks-stats $ks_stats_file \\ - --ks-pvalue-threshold $ks_pvalue_threshold - """ - -} diff --git a/modules/local/old/clean_count_data/spec-file.txt b/modules/local/old/clean_count_data/spec-file.txt deleted file mode 100644 index 1bf5d691..00000000 --- a/modules/local/old/clean_count_data/spec-file.txt +++ /dev/null @@ -1,40 +0,0 @@ -# This file may be used to create an environment using: -# $ conda create --name --file -# platform: linux-64 -@EXPLICIT -https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81 -https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.1.0-h767d61c_3.conda#3cd1a7238a0dd3d0860fdefc496cc854 -https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d -https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.1.0-h767d61c_3.conda#9e60c55e725c20d23125a5f0dd69af5d -https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.1.0-h69a702a_3.conda#e66f2b8ad787e7beb0f846e4bd7e8493 -https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda#62ee74e96c5ebb0af99386de58cf9553 -https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.6.15-hbd8a1cb_0.conda#72525f07d72806e3b639ad4504c30ce5 -https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.44-h1423503_0.conda#e31316a586cac398b1fcdb10ace786b9 -https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-15.1.0-hcea5267_3.conda#530566b68c3b8ce7eec4cd047eae19fe -https://conda.anaconda.org/conda-forge/linux-64/libgfortran-15.1.0-h69a702a_3.conda#bfbca721fd33188ef923dfe9ba172f29 -https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.30-pthreads_h94d23a6_0.conda#323dc8f259224d13078aaf7ce96c3efe -https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-32_h59b9bed_openblas.conda#2af9f3d5c2e39f417ce040f5a35c40c6 -https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-32_he106b2a_openblas.conda#3d3f9355e52f269cd8bc2c440d8a5263 -https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.0-h5888daf_0.conda#db0bfbe7dd197b68ad5f30333bae6ce0 -https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.6-h2dba641_1.conda#ede4673863426c0883c0063d853bbd85 -https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-32_h7ac8fdf_openblas.conda#6c3f04ccb6c578138e9f9899da0bd714 -https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.1-hb9d3cd8_2.conda#1a580f7796c7bf6393fddb8bbbde58dc -https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hb9d3cd8_1.conda#d864d34357c3b65a4b731f78c0801dc4 -https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda#edb0dca6bc32e4f4789199455a1dbeb8 -https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.50.2-h6cd9bfd_0.conda#b04c7eda6d7dab1e6503135e7fad4d25 -https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.1.0-h8f9b012_3.conda#6d11a5edae89fe413c0569f16d308f5a -https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda#40b61aab5c7ba9ff276c41cfffe6b80b -https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda#5aa797f8787fe7a17d1b0821485b5adc -https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda#47e340acb35de30501a76c7c799c41d7 -https://conda.anaconda.org/conda-forge/linux-64/openssl-3.5.1-h7b32b05_0.conda#c87df2ab1448ba69169652ab9547082d -https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8c095d6_2.conda#283b96675859b20a825f8fa30f311446 -https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_hd72426e_102.conda#a0116df4f4ed05c303811a837d5b39d8 -https://conda.anaconda.org/conda-forge/noarch/tzdata-2025b-h78e105d_0.conda#4222072737ccff51314b5ece9c7d6f5a -https://conda.anaconda.org/conda-forge/linux-64/python-3.12.8-h9e4cc4f_1_cpython.conda#7fd2fd79436d9b473812f14e86746844 -https://conda.anaconda.org/conda-forge/noarch/python_abi-3.12-7_cp312.conda#0dfcdc155cf23812a0c9deada86fb723 -https://conda.anaconda.org/conda-forge/linux-64/numpy-2.3.1-py312h6cf2f7f_0.conda#7e086a30150af2536a1059885368dcf0 -https://conda.anaconda.org/conda-forge/noarch/packaging-25.0-pyh29332c3_1.conda#58335b26c38bf4a20f399384c33cbcf9 -https://conda.anaconda.org/conda-forge/noarch/setuptools-80.9.0-pyhff2d567_0.conda#4de79c071274a53dcaf2a8c749d1499e -https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_1.conda#75cb7132eb58d97896e173ef12ac9986 -https://conda.anaconda.org/conda-forge/noarch/pip-25.1.1-pyh8b19718_0.conda#32d0781ace05105cc99af55d36cbec7c -https://conda.anaconda.org/conda-forge/linux-64/polars-1.17.1-py312hda0fa55_1.conda#d9d77bfc286b6044dc045d1696c6acdc diff --git a/modules/local/old/deseq2/main.nf b/modules/local/old/deseq2/main.nf deleted file mode 100644 index 18038106..00000000 --- a/modules/local/old/deseq2/main.nf +++ /dev/null @@ -1,30 +0,0 @@ -process NORMALISATION_DESEQ2 { - - label 'process_single' - - tag "${meta.dataset}" - - conda "${moduleDir}/environment.yml" - container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/ce/cef7164b168e74e5db11dcd9acf6172d47ed6753e4814c68f39835d0c6c22f6d/data': - 'community.wave.seqera.io/library/bioconductor-deseq2_r-base_r-optparse:c84cd7ffdb298fa7' }" - - input: - tuple val(meta), path(count_file), path(design_file) - - output: - tuple val(meta), path('*.cpm.csv'), optional: true, emit: cpm - tuple val(meta.dataset), path("failure_reason.txt"), optional: true, topic: normalisation_failure_reason - tuple val(meta.dataset), path("warning_reason.txt"), optional: true, topic: normalisation_warning_reason - tuple val("${task.process}"), val('R'), eval('Rscript -e "cat(R.version.string)" | sed "s/R version //"'), topic: versions - tuple val("${task.process}"), val('DESeq2'), eval('Rscript -e "cat(as.character(packageVersion(\'DESeq2\')))"'), topic: versions - - script: - """ - normalise_with_deseq2.R \\ - --counts $count_file \\ - --design $design_file - """ - - -} diff --git a/modules/local/old/deseq2/spec-file.txt b/modules/local/old/deseq2/spec-file.txt deleted file mode 100644 index ab36fbb1..00000000 --- a/modules/local/old/deseq2/spec-file.txt +++ /dev/null @@ -1,190 +0,0 @@ -# This file may be used to create an environment using: -# $ conda create --name --file -# platform: linux-64 -@EXPLICIT -https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81 -https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.1.0-h767d61c_3.conda#3cd1a7238a0dd3d0860fdefc496cc854 -https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d -https://conda.anaconda.org/conda-forge/noarch/_r-mutex-1.0.1-anacondar_1.tar.bz2#19f9db5f4f1b7f5ef5f6d67207f25f38 -https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.1.0-h767d61c_3.conda#9e60c55e725c20d23125a5f0dd69af5d -https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.1.0-h69a702a_3.conda#e66f2b8ad787e7beb0f846e4bd7e8493 -https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda#62ee74e96c5ebb0af99386de58cf9553 -https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.44-h1423503_0.conda#e31316a586cac398b1fcdb10ace786b9 -https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.0-h5888daf_0.conda#db0bfbe7dd197b68ad5f30333bae6ce0 -https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.6-h2dba641_1.conda#ede4673863426c0883c0063d853bbd85 -https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.1-hb9d3cd8_2.conda#1a580f7796c7bf6393fddb8bbbde58dc -https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb9d3cd8_0.conda#c7e925f37e3b40d893459e625f6a53f1 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-https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_hd72426e_102.conda#a0116df4f4ed05c303811a837d5b39d8 -https://conda.anaconda.org/conda-forge/noarch/tzdata-2025b-h78e105d_0.conda#4222072737ccff51314b5ece9c7d6f5a -https://conda.anaconda.org/conda-forge/linux-64/python-3.13.5-hec9711d_102_cp313.conda#89e07d92cf50743886f41638d58c4328 -https://conda.anaconda.org/conda-forge/noarch/argcomplete-3.6.2-pyhd8ed1ab_0.conda#eb9d4263271ca287d2e0cf5a86da2d3a -https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-64-3.10.0-he073ed8_18.conda#ad8527bf134a90e1c9ed35fa0b64318c -https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-64-2.17-h0157908_18.conda#460eba7851277ec1fd80a1a24080787a -https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.44-h4bf12b8_0.conda#7a1b5c3fbc0419961eaed361eedc90d4 -https://conda.anaconda.org/conda-forge/linux-64/bwidget-1.10.1-ha770c72_1.conda#983b92277d78c0d0ec498e460caa0e6d 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-https://conda.anaconda.org/conda-forge/linux-64/r-tibble-3.3.0-r43h2b5f3a1_0.conda#e12f4dc87c2ab21d2e4384cbf8f42111 -https://conda.anaconda.org/conda-forge/noarch/r-withr-3.0.2-r43hc72bb7e_0.conda#e503cae9a96ad7771fa6ccd3af90477b -https://conda.anaconda.org/conda-forge/noarch/r-ggplot2-3.5.2-r43hc72bb7e_0.conda#0245640d7215b4e4f1f07ce7cb08378f -https://conda.anaconda.org/conda-forge/linux-64/r-locfit-1.5_9.12-r43h2b5f3a1_0.conda#94bb7f425967b333ba97ce778b5a2efc -https://conda.anaconda.org/bioconda/linux-64/bioconductor-deseq2-1.42.0-r43hf17093f_2.tar.bz2#f600800873b9b0d08c42215182fc88b1 -https://conda.anaconda.org/conda-forge/noarch/pip-25.1.1-pyh145f28c_0.conda#01384ff1639c6330a0924791413b8714 -https://conda.anaconda.org/conda-forge/noarch/r-getopt-1.20.4-r43ha770c72_1.conda#cf6793c369dbc7ef63d9c1bc9b186615 -https://conda.anaconda.org/conda-forge/noarch/r-optparse-1.7.5-r43hc72bb7e_1.conda#ae32080aac0f74e73e7cd6e774db1c73 diff --git a/modules/local/old/download_genome_annotation/main.nf b/modules/local/old/download_genome_annotation/main.nf deleted file mode 100644 index c4914fe7..00000000 --- a/modules/local/old/download_genome_annotation/main.nf +++ /dev/null @@ -1,27 +0,0 @@ -process DOWNLOAD_GENOME_ANNOTATION { - - label 'process_single' - - tag "$accession" - - conda "${moduleDir}/environment.yml" - container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/a6/a6b13690259900baef6865722cb3a319103acc83b5bcab67504c88bde1e3a9f6/data': - 'community.wave.seqera.io/library/ncbi-datasets-cli_unzip:785aabe86637bae4' }" - - input: - val(accession) - - output: - path('genomic.gff'), emit: annotation - tuple val("${task.process}"), val('ncbi-datasets-cli'), eval("datasets --version | sed 's/datasets version: //g'"), topic: versions - - script: - """ - datasets download genome accession $accession --include gff3 - - unzip -o ncbi_dataset.zip - mv ncbi_dataset/data/${accession}/* . - """ - -} diff --git a/modules/local/old/download_genome_annotation/spec-file.txt b/modules/local/old/download_genome_annotation/spec-file.txt deleted file mode 100644 index f979bd9f..00000000 --- a/modules/local/old/download_genome_annotation/spec-file.txt +++ /dev/null @@ -1,12 +0,0 @@ -# This file may be used to create an environment using: -# $ conda create --name --file -# platform: linux-64 -@EXPLICIT -https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81 -https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.1.0-h767d61c_3.conda#3cd1a7238a0dd3d0860fdefc496cc854 -https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d -https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.7.14-hbd8a1cb_0.conda#d16c90324aef024877d8713c0b7fea5b -https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.1.0-h767d61c_3.conda#9e60c55e725c20d23125a5f0dd69af5d -https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.1.0-h69a702a_3.conda#e66f2b8ad787e7beb0f846e4bd7e8493 -https://conda.anaconda.org/conda-forge/linux-64/ncbi-datasets-cli-18.5.0-ha770c72_0.conda#28b6b83d9152d8af1bebacdcc070c13a -https://conda.anaconda.org/conda-forge/linux-64/unzip-6.0-h7f98852_3.tar.bz2#7cb7109505433a5abbf68bb34b31edac diff --git a/modules/local/old/download_ncbi_annotation/environment.yml b/modules/local/old/download_ncbi_annotation/environment.yml deleted file mode 100644 index 86f21616..00000000 --- a/modules/local/old/download_ncbi_annotation/environment.yml +++ /dev/null @@ -1,9 +0,0 @@ ---- -# yaml-language-server: $schema=https://raw.githubusercontent.com/nf-core/modules/master/modules/environment-schema.json -channels: - - conda-forge - - bioconda -dependencies: - - conda-forge::python=3.14.3 - - conda-forge::httpx==0.28.1 - - conda-forge::tenacity==9.1.4 diff --git a/modules/local/old/download_ncbi_annotation/main.nf b/modules/local/old/download_ncbi_annotation/main.nf deleted file mode 100644 index 0eb0e11e..00000000 --- a/modules/local/old/download_ncbi_annotation/main.nf +++ /dev/null @@ -1,33 +0,0 @@ -process DOWNLOAD_NCBI_ANNOTATION { - - label 'process_single' - - tag "${species}" - - conda "${moduleDir}/environment.yml" - container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/47/4709652d855d874806dcd77d35cfe69b0ffec872213cbd573511180f03c096dc/data': - 'community.wave.seqera.io/library/httpx_python_tenacity:2ece9866afa83f4e' }" - - input: - val species - - output: - path "*.gff.gz", emit: gff - tuple val("${task.process}"), val('python'), eval("python3 --version | sed 's/Python //'"), topic: versions - tuple val("${task.process}"), val('requests'), eval('python3 -c "import requests; print(requests.__version__)"'), topic: versions - - script: - """ - download_latest_ncbi_annotation.py \\ - --species ${species} - - gzip -n *.gff - """ - - stub: - """ - touch fake.gff3.gz.txt - """ - -} diff --git a/modules/local/old/edger/main.nf b/modules/local/old/edger/main.nf deleted file mode 100644 index ceb6e2d8..00000000 --- a/modules/local/old/edger/main.nf +++ /dev/null @@ -1,29 +0,0 @@ -process NORMALISATION_EDGER { - - label 'process_single' - - tag "${meta.dataset}" - - conda "${moduleDir}/environment.yml" - container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/89/89bbc9544e18b624ed6d0a30e701cf8cec63e063cc9b5243e1efde362fe92228/data': - 'community.wave.seqera.io/library/bioconductor-edger_r-base_r-optparse:400aaabddeea1574' }" - - input: - tuple val(meta), path(count_file), path(design_file) - - output: - tuple val(meta), path('*.cpm.csv'), optional: true, emit: cpm - tuple val(meta.dataset), path("failure_reason.txt"), optional: true, topic: normalisation_failure_reason - tuple val(meta.dataset), path("warning_reason.txt"), optional: true, topic: normalisation_warning_reason - tuple val("${task.process}"), val('R'), eval('Rscript -e "cat(R.version.string)" | sed "s/R version //"'), topic: versions - tuple val("${task.process}"), val('edgeR'), eval('Rscript -e "cat(as.character(packageVersion(\'edgeR\')))"'), topic: versions - - script: - """ - normalise_with_edger.R \\ - --counts $count_file \\ - --design $design_file - """ - -} diff --git a/modules/local/old/edger/spec-file.txt b/modules/local/old/edger/spec-file.txt deleted file mode 100644 index 54a7d740..00000000 --- a/modules/local/old/edger/spec-file.txt +++ /dev/null @@ -1,101 +0,0 @@ -# This file may be used to create an environment using: -# $ conda create --name --file -# platform: linux-64 -@EXPLICIT 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-https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.44-h4bf12b8_0.conda#7a1b5c3fbc0419961eaed361eedc90d4 -https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.1.0-h767d61c_3.conda#9e60c55e725c20d23125a5f0dd69af5d -https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-15.1.0-hcea5267_3.conda#530566b68c3b8ce7eec4cd047eae19fe -https://conda.anaconda.org/conda-forge/linux-64/libgfortran-15.1.0-h69a702a_3.conda#bfbca721fd33188ef923dfe9ba172f29 -https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.30-pthreads_h94d23a6_0.conda#323dc8f259224d13078aaf7ce96c3efe -https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-32_h59b9bed_openblas.conda#2af9f3d5c2e39f417ce040f5a35c40c6 -https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.1.0-h69a702a_3.conda#e66f2b8ad787e7beb0f846e4bd7e8493 -https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-32_h7ac8fdf_openblas.conda#6c3f04ccb6c578138e9f9899da0bd714 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-https://conda.anaconda.org/conda-forge/noarch/libgcc-devel_linux-64-15.1.0-h4c094af_103.conda#ea67e87d658d31dc33818f9574563269 -https://conda.anaconda.org/conda-forge/linux-64/libsanitizer-15.1.0-h97b714f_3.conda#bbcff9bf972a0437bea8e431e4b327bb -https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-15.1.0-h4393ad2_3.conda#f39f96280dd8b1ec8cbd395a3d3fdd1e -https://conda.anaconda.org/conda-forge/linux-64/gfortran_impl_linux-64-15.1.0-h3b9cdf2_3.conda#649c5fe0593a880702e434bc375f3e8a -https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-32_he106b2a_openblas.conda#3d3f9355e52f269cd8bc2c440d8a5263 -https://conda.anaconda.org/conda-forge/linux-64/gsl-2.7-he838d99_0.tar.bz2#fec079ba39c9cca093bf4c00001825de -https://conda.anaconda.org/conda-forge/noarch/libstdcxx-devel_linux-64-15.1.0-h4c094af_103.conda#83bbc814f0aeccccb5ea10267bea0d2e -https://conda.anaconda.org/conda-forge/linux-64/gxx_impl_linux-64-15.1.0-h6a1bac1_3.conda#d71cc504fcfdbee8dd7925ebb9c2bf85 -https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-15.1.0-h69a702a_3.conda#6e5d0574e57a38c36e674e9a18eee2b4 -https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.1.0-hb9d3cd8_0.conda#9fa334557db9f63da6c9285fd2a48638 -https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.1-hb9d3cd8_2.conda#1a580f7796c7bf6393fddb8bbbde58dc -https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h0aef613_1.conda#9344155d33912347b37f0ae6c410a835 -https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.24-h86f0d12_0.conda#64f0c503da58ec25ebd359e4d990afa8 -https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.5.0-h851e524_0.conda#63f790534398730f59e1b899c3644d4a -https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-hf01ce69_5.conda#e79a094918988bb1807462cd42c83962 -https://conda.anaconda.org/conda-forge/linux-64/make-4.4.1-hb9d3cd8_2.conda#33405d2a66b1411db9f7242c8b97c9e7 -https://conda.anaconda.org/conda-forge/linux-64/fribidi-1.0.10-h36c2ea0_0.tar.bz2#ac7bc6a654f8f41b352b38f4051135f8 -https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.14-h5888daf_0.conda#951ff8d9e5536896408e89d63230b8d5 -https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-11.2.1-h3beb420_0.conda#0e6e192d4b3d95708ad192d957cf3163 -https://conda.anaconda.org/conda-forge/linux-64/pango-1.56.4-hadf4263_0.conda#79f71230c069a287efe3a8614069ddf1 -https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8c095d6_2.conda#283b96675859b20a825f8fa30f311446 -https://conda.anaconda.org/conda-forge/linux-64/sed-4.9-h6688a6e_0.conda#171afc5f7ca0408bbccbcb69ade85f92 -https://conda.anaconda.org/conda-forge/linux-64/tktable-2.10-h8d826fa_7.conda#3ac51142c19ba95ae0fadefa333c9afb -https://conda.anaconda.org/conda-forge/linux-64/xorg-libxt-1.3.1-hb9d3cd8_0.conda#279b0de5f6ba95457190a1c459a64e31 -https://conda.anaconda.org/conda-forge/linux-64/r-base-4.3.3-h65010dc_18.conda#721ea26859f44b206b0146eae8444657 -https://conda.anaconda.org/conda-forge/linux-64/r-statmod-1.5.0-r43ha36c22a_2.conda#d1b3431cbf858fec53e7eb00f8b8cde0 -https://conda.anaconda.org/bioconda/linux-64/bioconductor-limma-3.58.1-r43ha9d7317_1.tar.bz2#c8af3f878cedd1c3c4b6a61a722cddc0 -https://conda.anaconda.org/conda-forge/linux-64/r-lattice-0.22_7-r43h2b5f3a1_0.conda#1902233545ef5232dacdd973153d77c4 -https://conda.anaconda.org/conda-forge/linux-64/r-locfit-1.5_9.12-r43h2b5f3a1_0.conda#94bb7f425967b333ba97ce778b5a2efc -https://conda.anaconda.org/conda-forge/linux-64/r-rcpp-1.1.0-r43h93ab643_0.conda#b10c60cf4d65df16b0fe2a17e2324375 -https://conda.anaconda.org/bioconda/linux-64/bioconductor-edger-4.0.16-r43hf17093f_1.tar.bz2#7b499c193120f59dc5f034a069ab277b -https://conda.anaconda.org/conda-forge/noarch/r-getopt-1.20.4-r43ha770c72_1.conda#cf6793c369dbc7ef63d9c1bc9b186615 -https://conda.anaconda.org/conda-forge/noarch/r-optparse-1.7.5-r43hc72bb7e_1.conda#ae32080aac0f74e73e7cd6e774db1c73 diff --git a/modules/local/old/get_annotation_accession/main.nf b/modules/local/old/get_annotation_accession/main.nf deleted file mode 100644 index 0236126c..00000000 --- a/modules/local/old/get_annotation_accession/main.nf +++ /dev/null @@ -1,32 +0,0 @@ -process GET_ANNOTATION_ACCESSION { - - label 'process_single' - - tag "$species" - - conda "${moduleDir}/environment.yml" - container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/b4/b4d686ef63e22bc4d461178fc241cefddd2aa3436e189d3787c8e019448f056e/data': - 'community.wave.seqera.io/library/requests_tenacity_tqdm:126dbed8ef3ff96f' }" - - input: - val(species) - - output: - env("ACCESSION"), emit: accession - tuple val("${task.process}"), val('python'), eval("python3 --version | sed 's/Python //'"), topic: versions - tuple val("${task.process}"), val('requests'), eval('python3 -c "import requests; print(requests.__version__)"'), topic: versions - tuple val("${task.process}"), val('tenacity'), eval('python3 -c "from importlib.metadata import version; print(version(\'tenacity\'))"'), topic: versions - - script: - """ - get_annotation_accession.py --species $species - ACCESSION=\$(cat accession.txt) - """ - - stub: - """ - touch accession.txt - """ - -} diff --git a/modules/local/old/get_annotation_accession/spec-file.txt b/modules/local/old/get_annotation_accession/spec-file.txt deleted file mode 100644 index 9c4d257a..00000000 --- a/modules/local/old/get_annotation_accession/spec-file.txt +++ /dev/null @@ -1,53 +0,0 @@ -# This file may be used to create an environment using: -# $ conda create --name --file -# platform: linux-64 -@EXPLICIT -https://repo.anaconda.com/pkgs/main/linux-64/_libgcc_mutex-0.1-main.conda#c3473ff8bdb3d124ed5ff11ec380d6f9 -https://repo.anaconda.com/pkgs/main/linux-64/_openmp_mutex-5.1-1_gnu.conda#71d281e9c2192cb3fa425655a8defb85 -https://repo.anaconda.com/pkgs/main/linux-64/libgcc-15.2.0-h69a1729_7.conda#01fb1b8725fc7f66312b9d409758917a -https://repo.anaconda.com/pkgs/main/linux-64/libstdcxx-15.2.0-h39759b7_7.conda#7dc7ec61ceea5de17f3e2c4c5f442fc6 -https://repo.anaconda.com/pkgs/main/linux-64/libgcc-ng-15.2.0-h166f726_7.conda#2783efb2502b9caa7f08e25fd54df899 -https://repo.anaconda.com/pkgs/main/linux-64/bzip2-1.0.8-h5eee18b_6.conda#f21a3ff51c1b271977f53ce956a69297 -https://repo.anaconda.com/pkgs/main/linux-64/libstdcxx-ng-15.2.0-hc03a8fd_7.conda#cf200522c0b13d64bf81035358d05f5b -https://repo.anaconda.com/pkgs/main/linux-64/expat-2.7.3-h3385a95_0.conda#105822d24b4de9055e705a7d76549416 -https://repo.anaconda.com/pkgs/main/linux-64/ld_impl_linux-64-2.44-h153f514_2.conda#dffdc9a0e09d04051d4bd758e104f4b3 -https://repo.anaconda.com/pkgs/main/linux-64/libffi-3.4.4-h6a678d5_1.conda#70646cc713f0c43926cfdcfe9b695fe0 -https://repo.anaconda.com/pkgs/main/linux-64/libmpdec-4.0.0-h5eee18b_0.conda#feb10f42b1a7b523acbf85461be41a3e -https://repo.anaconda.com/pkgs/main/linux-64/libuuid-1.41.5-h5eee18b_0.conda#4a6a2354414c9080327274aa514e5299 -https://repo.anaconda.com/pkgs/main/linux-64/ncurses-6.5-h7934f7d_0.conda#0abfc090299da4bb031b84c64309757b -https://repo.anaconda.com/pkgs/main/linux-64/ca-certificates-2025.11.4-h06a4308_0.conda#f04cd5aa67216b77e8f664bb4c7098a4 -https://repo.anaconda.com/pkgs/main/linux-64/openssl-3.0.18-hd6dcaed_0.conda#3762b8999909b69745881cf4b8dd2816 -https://repo.anaconda.com/pkgs/main/linux-64/python_abi-3.13-1_cp313.conda#bea705c35663f9394ec82e87dc692c85 -https://repo.anaconda.com/pkgs/main/linux-64/readline-8.3-hc2a1206_0.conda#8578e006d4ef5cb98a6cda232b3490f6 -https://repo.anaconda.com/pkgs/main/linux-64/libzlib-1.3.1-hb25bd0a_0.conda#338ee51e19ee211b7fc994d4ba88c631 -https://repo.anaconda.com/pkgs/main/linux-64/zlib-1.3.1-hb25bd0a_0.conda#9f3a877e5e0fa0fb39253a59ff824861 -https://repo.anaconda.com/pkgs/main/linux-64/sqlite-3.51.0-h2a70700_0.conda#99a4278be9c6901ee6989b24fd213240 -https://repo.anaconda.com/pkgs/main/linux-64/pthread-stubs-0.3-h0ce48e5_1.conda#973a642312d2a28927aaf5b477c67250 -https://repo.anaconda.com/pkgs/main/linux-64/xorg-libxau-1.0.12-h9b100fa_0.conda#a8005a9f6eb903e113cd5363e8a11459 -https://repo.anaconda.com/pkgs/main/linux-64/xorg-libxdmcp-1.1.5-h9b100fa_0.conda#c284a09ddfba81d9c4e740110f09ea06 -https://repo.anaconda.com/pkgs/main/linux-64/libxcb-1.17.0-h9b100fa_0.conda#fdf0d380fa3809a301e2dbc0d5183883 -https://repo.anaconda.com/pkgs/main/linux-64/xorg-xorgproto-2024.1-h5eee18b_1.conda#412a0d97a7a51d23326e57226189da92 -https://repo.anaconda.com/pkgs/main/linux-64/xorg-libx11-1.8.12-h9b100fa_1.conda#6298b27afae6f49f03765b2a03df2fcb -https://repo.anaconda.com/pkgs/main/linux-64/tk-8.6.15-h54e0aa7_0.conda#1fa91e0c4fc9c9435eda3f1a25a676fd -https://repo.anaconda.com/pkgs/main/noarch/tzdata-2025b-h04d1e81_0.conda#1d027393db3427ab22a02aa44a56f143 -https://repo.anaconda.com/pkgs/main/linux-64/xz-5.6.4-h5eee18b_1.conda#3581505fa450962d631bd82b8616350e -https://repo.anaconda.com/pkgs/main/linux-64/python-3.13.9-h7e8bc2b_100_cp313.conda#9ea34b30a1bdb8f7c9d62c072697e681 -https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py313h09d1b84_0.conda#dfd94363b679c74937b3926731ee861a -https://conda.anaconda.org/conda-forge/noarch/certifi-2025.11.12-pyhd8ed1ab_0.conda#96a02a5c1a65470a7e4eedb644c872fd -https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda#12c566707c80111f9799308d9e265aef -https://conda.anaconda.org/conda-forge/linux-64/cffi-1.17.1-py313hfab6e84_0.conda#ce6386a5892ef686d6d680c345c40ad1 -https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.4-pyhd8ed1ab_0.conda#a22d1fd9bf98827e280a02875d9a007a -https://conda.anaconda.org/conda-forge/noarch/hpack-4.1.0-pyhd8ed1ab_0.conda#0a802cb9888dd14eeefc611f05c40b6e -https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.1.0-pyhd8ed1ab_0.conda#8e6923fc12f1fe8f8c4e5c9f343256ac -https://conda.anaconda.org/conda-forge/noarch/h2-4.3.0-pyhcf101f3_0.conda#164fc43f0b53b6e3a7bc7dce5e4f1dc9 -https://conda.anaconda.org/conda-forge/noarch/idna-3.11-pyhd8ed1ab_0.conda#53abe63df7e10a6ba605dc5f9f961d36 -https://repo.anaconda.com/pkgs/main/linux-64/libgomp-15.2.0-h4751f2c_7.conda#82025ed6da944bd419d42d9b1ff116aa -https://repo.anaconda.com/pkgs/main/linux-64/setuptools-80.9.0-py313h06a4308_0.conda#42ffd8d5a0c04d5e55431e3d4f6e8408 -https://repo.anaconda.com/pkgs/main/linux-64/wheel-0.45.1-py313h06a4308_0.conda#29057e876eedce0e37c2388c138a19f9 -https://repo.anaconda.com/pkgs/main/noarch/pip-25.3-pyhc872135_0.conda#f713912a259ec613b3832c3bc842e9d4 -https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda#461219d1a5bd61342293efa2c0c90eac -https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb8e6e7a_2.conda#6432cb5d4ac0046c3ac0a8a0f95842f9 -https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.25.0-py313h54dd161_1.conda#710d4663806d0f72b2fb414e936223b5 -https://conda.anaconda.org/conda-forge/noarch/urllib3-2.5.0-pyhd8ed1ab_0.conda#436c165519e140cb08d246a4472a9d6a -https://conda.anaconda.org/conda-forge/noarch/requests-2.32.5-pyhd8ed1ab_0.conda#db0c6b99149880c8ba515cf4abe93ee4 -https://conda.anaconda.org/conda-forge/noarch/tenacity-9.1.2-pyhd8ed1ab_0.conda#5d99943f2ae3cc69e1ada12ce9d4d701 diff --git a/modules/local/old/normalise_microarray/environment.yml b/modules/local/old/normalise_microarray/environment.yml deleted file mode 100644 index 651528a4..00000000 --- a/modules/local/old/normalise_microarray/environment.yml +++ /dev/null @@ -1,11 +0,0 @@ ---- -# yaml-language-server: $schema=https://raw.githubusercontent.com/nf-core/modules/master/modules/environment-schema.json -channels: - - conda-forge - - bioconda -dependencies: - - conda-forge::r-biocmanager - - conda-forge::r-optparse - - conda-forge::r-dplyr - - bioconda::bioconductor-genomeinfodb - - bioconda::bioconductor-annotationdbi From 7a739ab609218e8f9063fb4b19b6fbb3a3132444 Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Thu, 19 Mar 2026 10:30:41 +0100 Subject: [PATCH 02/41] updated all environments (docker + apptainer + conda) of modules using polars --- bin/merge_counts.py | 5 ++--- modules/local/aggregate_results/environment.yml | 4 ++-- modules/local/aggregate_results/main.nf | 4 ++-- modules/local/clean_gene_ids/environment.yml | 4 ++-- modules/local/clean_gene_ids/main.nf | 4 ++-- .../compute_dataset_statistics/environment.yml | 4 ++-- modules/local/compute_dataset_statistics/main.nf | 4 ++-- .../local/compute_gene_statistics/environment.yml | 2 +- modules/local/compute_gene_statistics/main.nf | 4 ++-- .../local/compute_stability_scores/environment.yml | 4 ++-- modules/local/compute_stability_scores/main.nf | 4 ++-- modules/local/dash_app/app/environment.yml | 8 ++++---- modules/local/dash_app/main.nf | 4 ++-- modules/local/detect_rare_genes/environment.yml | 4 ++-- modules/local/detect_rare_genes/main.nf | 4 ++-- modules/local/expressionatlas/getdata/main.nf | 4 ++-- modules/local/extract_gene_ids/environment.yml | 4 ++-- modules/local/extract_gene_ids/main.nf | 4 ++-- .../local/filter_and_rename_genes/environment.yml | 4 ++-- modules/local/filter_and_rename_genes/main.nf | 4 ++-- .../with_too_many_missing_values/environment.yml | 4 ++-- .../with_too_many_missing_values/main.nf | 4 ++-- .../with_too_many_zeros/environment.yml | 4 ++-- .../filter_out_samples/with_too_many_zeros/main.nf | 4 ++-- .../local/genorm/compute_m_measure/environment.yml | 4 ++-- modules/local/genorm/compute_m_measure/main.nf | 4 ++-- modules/local/genorm/cross_join/environment.yml | 4 ++-- modules/local/genorm/cross_join/main.nf | 4 ++-- .../local/genorm/expression_ratio/environment.yml | 4 ++-- modules/local/genorm/expression_ratio/main.nf | 4 ++-- modules/local/genorm/make_chunks/environment.yml | 4 ++-- modules/local/genorm/make_chunks/main.nf | 4 ++-- .../genorm/ratio_standard_variation/environment.yml | 4 ++-- .../local/genorm/ratio_standard_variation/main.nf | 4 ++-- modules/local/get_candidate_genes/environment.yml | 4 ++-- modules/local/get_candidate_genes/main.nf | 4 ++-- modules/local/impute_missing_values/environment.yml | 4 ++-- modules/local/impute_missing_values/main.nf | 4 ++-- modules/local/merge_counts/environment.yml | 3 +-- modules/local/merge_counts/main.nf | 5 ++--- .../local/normalisation/compute_cpm/environment.yml | 4 ++-- modules/local/normalisation/compute_cpm/main.nf | 4 ++-- .../local/normalisation/compute_tpm/environment.yml | 4 ++-- modules/local/normalisation/compute_tpm/main.nf | 4 ++-- modules/local/normfinder/environment.yml | 10 +++++----- modules/local/normfinder/main.nf | 13 ++++++++----- .../local/quantile_normalisation/environment.yml | 4 ++-- modules/local/quantile_normalisation/main.nf | 4 ++-- 48 files changed, 105 insertions(+), 105 deletions(-) diff --git a/bin/merge_counts.py b/bin/merge_counts.py index 33f34fff..0f9d426c 100755 --- a/bin/merge_counts.py +++ b/bin/merge_counts.py @@ -11,7 +11,6 @@ import config import polars as pl -from tqdm import tqdm logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) @@ -41,7 +40,7 @@ def parse_args(): def get_lazyframes(files: list[Path]) -> list[pl.LazyFrame]: """Get a list of LazyFrames from a list of files.""" - return [pl.scan_parquet(file, low_memory=True) for file in tqdm(files)] + return [pl.scan_parquet(file, low_memory=True) for file in files] def get_columns(lf: pl.LazyFrame) -> list[str]: @@ -99,7 +98,7 @@ def collect_all_gene_ids(lfs: list[pl.LazyFrame]) -> pl.DataFrame: """ logger.info("Getting the full list of gene IDs") gene_id_set = set() - for lf in tqdm(lfs): + for lf in lfs: lf_gene_ids = lf.select(config.GENE_ID_COLNAME).collect().to_series().to_list() gene_id_set.update(lf_gene_ids) return pl.DataFrame({config.GENE_ID_COLNAME: sorted(list(gene_id_set))}) diff --git a/modules/local/aggregate_results/environment.yml b/modules/local/aggregate_results/environment.yml index abc432dc..93ba05a4 100644 --- a/modules/local/aggregate_results/environment.yml +++ b/modules/local/aggregate_results/environment.yml @@ -4,6 +4,6 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.12.8 - - conda-forge::polars==1.35.2 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 - conda-forge::pyyaml==6.0.3 diff --git a/modules/local/aggregate_results/main.nf b/modules/local/aggregate_results/main.nf index d74e3d8e..8d4b33fc 100644 --- a/modules/local/aggregate_results/main.nf +++ b/modules/local/aggregate_results/main.nf @@ -4,8 +4,8 @@ process AGGREGATE_RESULTS { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/a0/a040ba30cbb433a3a6e84ca9881dce77e23762a2b860bdea21b252296a366d20/data': - 'community.wave.seqera.io/library/polars_python_pyyaml:8b53cd142171d9f8' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/7e/7e08ea26f496697870f6afe87a9def87c1038c000306c9280719d40ee9797293/data': + 'community.wave.seqera.io/library/polars_python_pyyaml:0d7b8bed8db11ef1' }" input: path count_file diff --git a/modules/local/clean_gene_ids/environment.yml b/modules/local/clean_gene_ids/environment.yml index f0eaf3dd..45a97ad0 100644 --- a/modules/local/clean_gene_ids/environment.yml +++ b/modules/local/clean_gene_ids/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.12.8 - - conda-forge::polars==1.35.2 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 diff --git a/modules/local/clean_gene_ids/main.nf b/modules/local/clean_gene_ids/main.nf index e45eb7dc..666de1fa 100644 --- a/modules/local/clean_gene_ids/main.nf +++ b/modules/local/clean_gene_ids/main.nf @@ -6,8 +6,8 @@ process CLEAN_GENE_IDS { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0f/0f8a5d02e7b31980c887253a9f118da0ef91ead1c7b158caf855199e5c5d5473/data': - 'community.wave.seqera.io/library/polars_python:cab787b788e5eba7' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: tuple val(meta), path(count_file) diff --git a/modules/local/compute_dataset_statistics/environment.yml b/modules/local/compute_dataset_statistics/environment.yml index f0eaf3dd..45a97ad0 100644 --- a/modules/local/compute_dataset_statistics/environment.yml +++ b/modules/local/compute_dataset_statistics/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.12.8 - - conda-forge::polars==1.35.2 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 diff --git a/modules/local/compute_dataset_statistics/main.nf b/modules/local/compute_dataset_statistics/main.nf index e237d0de..e93e000b 100644 --- a/modules/local/compute_dataset_statistics/main.nf +++ b/modules/local/compute_dataset_statistics/main.nf @@ -6,8 +6,8 @@ process COMPUTE_DATASET_STATISTICS { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0f/0f8a5d02e7b31980c887253a9f118da0ef91ead1c7b158caf855199e5c5d5473/data': - 'community.wave.seqera.io/library/polars_python:cab787b788e5eba7' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: tuple val(meta), path(count_file) diff --git a/modules/local/compute_gene_statistics/environment.yml b/modules/local/compute_gene_statistics/environment.yml index 0f31bfca..45a97ad0 100644 --- a/modules/local/compute_gene_statistics/environment.yml +++ b/modules/local/compute_gene_statistics/environment.yml @@ -5,4 +5,4 @@ channels: - bioconda dependencies: - conda-forge::python=3.14.3 - - conda-forge::polars==1.38.1 + - conda-forge::polars==1.39.2 diff --git a/modules/local/compute_gene_statistics/main.nf b/modules/local/compute_gene_statistics/main.nf index 09368e46..ba84fd16 100644 --- a/modules/local/compute_gene_statistics/main.nf +++ b/modules/local/compute_gene_statistics/main.nf @@ -4,8 +4,8 @@ process COMPUTE_GENE_STATISTICS { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/a1/a1de3eb1a051ef4527661296f6a3165c7d1b0fd8707d21844bfad6483dce4dcb/data': - 'community.wave.seqera.io/library/polars_python:100fa0b0355e4749' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: tuple val(meta), path(count_file, name: 'count_file.parquet'), path(imputed_count_file, name: 'imputed_count_file.parquet') diff --git a/modules/local/compute_stability_scores/environment.yml b/modules/local/compute_stability_scores/environment.yml index f0eaf3dd..45a97ad0 100644 --- a/modules/local/compute_stability_scores/environment.yml +++ b/modules/local/compute_stability_scores/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.12.8 - - conda-forge::polars==1.35.2 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 diff --git a/modules/local/compute_stability_scores/main.nf b/modules/local/compute_stability_scores/main.nf index c8b349cc..48f8f0e3 100644 --- a/modules/local/compute_stability_scores/main.nf +++ b/modules/local/compute_stability_scores/main.nf @@ -5,8 +5,8 @@ process COMPUTE_STABILITY_SCORES { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0f/0f8a5d02e7b31980c887253a9f118da0ef91ead1c7b158caf855199e5c5d5473/data': - 'community.wave.seqera.io/library/polars_python:cab787b788e5eba7' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: tuple val(meta), path(normfinder_stability_file), path(genorm_stability_file), path(section_stat_file) diff --git a/modules/local/dash_app/app/environment.yml b/modules/local/dash_app/app/environment.yml index 36fb5a36..ba925002 100644 --- a/modules/local/dash_app/app/environment.yml +++ b/modules/local/dash_app/app/environment.yml @@ -4,11 +4,11 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.13.8 + - conda-forge::python=3.14.3 - conda-forge::pandas==2.3.3 - - conda-forge::polars==1.35.2 - - conda-forge::pyarrow==22.0.0 - - conda-forge::scipy==1.16.3 + - conda-forge::polars==1.39.2 + - conda-forge::pyarrow==23.0.1 + - conda-forge::scipy==1.17.1 - conda-forge::dash==3.3.0 - conda-forge::dash-mantine-components==2.4.0 - conda-forge::dash-extensions==2.0.4 diff --git a/modules/local/dash_app/main.nf b/modules/local/dash_app/main.nf index ff38bdbd..d64416b7 100644 --- a/modules/local/dash_app/main.nf +++ b/modules/local/dash_app/main.nf @@ -4,8 +4,8 @@ process DASH_APP { conda "${moduleDir}/app/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/4e/4eec747f2063edcc2d1b64e3b84a6b154fde1b9cd9d698446321b4a535432272/data': - 'community.wave.seqera.io/library/dash-ag-grid_dash-extensions_dash-iconify_dash-mantine-components_pruned:7cf6396dd8cd850e' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/fc/fc4abd76b9424d5f5397a6c97e8ed8c2e3a5a454773595204ceb55b39057d812/data': + 'community.wave.seqera.io/library/dash-ag-grid_dash-extensions_dash-iconify_dash-mantine-components_pruned:be6021fe1944629c' }" errorStrategy { if (task.exitStatus == 100) { diff --git a/modules/local/detect_rare_genes/environment.yml b/modules/local/detect_rare_genes/environment.yml index f0eaf3dd..45a97ad0 100644 --- a/modules/local/detect_rare_genes/environment.yml +++ b/modules/local/detect_rare_genes/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.12.8 - - conda-forge::polars==1.35.2 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 diff --git a/modules/local/detect_rare_genes/main.nf b/modules/local/detect_rare_genes/main.nf index dd3aa16f..1e2af20d 100644 --- a/modules/local/detect_rare_genes/main.nf +++ b/modules/local/detect_rare_genes/main.nf @@ -4,8 +4,8 @@ process DETECT_RARE_GENES { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0f/0f8a5d02e7b31980c887253a9f118da0ef91ead1c7b158caf855199e5c5d5473/data': - 'community.wave.seqera.io/library/polars_python:cab787b788e5eba7' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: path(gene_id_mapping_file) diff --git a/modules/local/expressionatlas/getdata/main.nf b/modules/local/expressionatlas/getdata/main.nf index b7bd3fb1..faecb7b2 100644 --- a/modules/local/expressionatlas/getdata/main.nf +++ b/modules/local/expressionatlas/getdata/main.nf @@ -8,8 +8,8 @@ process EXPRESSIONATLAS_GETDATA { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/7f/7fd21450c3a3f7df37fa0480170780019e9686be319da1c9e10712f7f17cca26/data': - 'community.wave.seqera.io/library/bioconductor-expressionatlas_r-base_r-optparse:ca0f8cd9d3f44af9' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/96/963bb5cfef2f27d3c5b2a428b18319c65e4d6ff428be08cf3e124e4f9a25a234/data': + 'community.wave.seqera.io/library/bioconductor-expressionatlas_r-base_r-optparse:e15047a6b3701e2c' }" input: val accession diff --git a/modules/local/extract_gene_ids/environment.yml b/modules/local/extract_gene_ids/environment.yml index f0eaf3dd..45a97ad0 100644 --- a/modules/local/extract_gene_ids/environment.yml +++ b/modules/local/extract_gene_ids/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.12.8 - - conda-forge::polars==1.35.2 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 diff --git a/modules/local/extract_gene_ids/main.nf b/modules/local/extract_gene_ids/main.nf index 6c37271c..962e36ee 100644 --- a/modules/local/extract_gene_ids/main.nf +++ b/modules/local/extract_gene_ids/main.nf @@ -6,8 +6,8 @@ process EXTRACT_GENE_IDS { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0f/0f8a5d02e7b31980c887253a9f118da0ef91ead1c7b158caf855199e5c5d5473/data': - 'community.wave.seqera.io/library/polars_python:cab787b788e5eba7' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: tuple val(meta), path(count_file) diff --git a/modules/local/filter_and_rename_genes/environment.yml b/modules/local/filter_and_rename_genes/environment.yml index f0eaf3dd..45a97ad0 100644 --- a/modules/local/filter_and_rename_genes/environment.yml +++ b/modules/local/filter_and_rename_genes/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.12.8 - - conda-forge::polars==1.35.2 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 diff --git a/modules/local/filter_and_rename_genes/main.nf b/modules/local/filter_and_rename_genes/main.nf index a870d8c2..e63769a7 100644 --- a/modules/local/filter_and_rename_genes/main.nf +++ b/modules/local/filter_and_rename_genes/main.nf @@ -6,8 +6,8 @@ process FILTER_AND_RENAME_GENES { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0f/0f8a5d02e7b31980c887253a9f118da0ef91ead1c7b158caf855199e5c5d5473/data': - 'community.wave.seqera.io/library/polars_python:cab787b788e5eba7' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: tuple val(meta), path(count_file) diff --git a/modules/local/filter_out_samples/with_too_many_missing_values/environment.yml b/modules/local/filter_out_samples/with_too_many_missing_values/environment.yml index f0eaf3dd..45a97ad0 100644 --- a/modules/local/filter_out_samples/with_too_many_missing_values/environment.yml +++ b/modules/local/filter_out_samples/with_too_many_missing_values/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.12.8 - - conda-forge::polars==1.35.2 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 diff --git a/modules/local/filter_out_samples/with_too_many_missing_values/main.nf b/modules/local/filter_out_samples/with_too_many_missing_values/main.nf index a6caa483..ebbdc119 100644 --- a/modules/local/filter_out_samples/with_too_many_missing_values/main.nf +++ b/modules/local/filter_out_samples/with_too_many_missing_values/main.nf @@ -6,8 +6,8 @@ process FILTER_OUT_SAMPLES_WITH_TOO_MANY_MISSING_VALUES { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0f/0f8a5d02e7b31980c887253a9f118da0ef91ead1c7b158caf855199e5c5d5473/data': - 'community.wave.seqera.io/library/polars_python:cab787b788e5eba7' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: tuple val(meta), path(count_file) diff --git a/modules/local/filter_out_samples/with_too_many_zeros/environment.yml b/modules/local/filter_out_samples/with_too_many_zeros/environment.yml index f0eaf3dd..45a97ad0 100644 --- a/modules/local/filter_out_samples/with_too_many_zeros/environment.yml +++ b/modules/local/filter_out_samples/with_too_many_zeros/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.12.8 - - conda-forge::polars==1.35.2 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 diff --git a/modules/local/filter_out_samples/with_too_many_zeros/main.nf b/modules/local/filter_out_samples/with_too_many_zeros/main.nf index e3c2832d..c380fb00 100644 --- a/modules/local/filter_out_samples/with_too_many_zeros/main.nf +++ b/modules/local/filter_out_samples/with_too_many_zeros/main.nf @@ -6,8 +6,8 @@ process FILTER_OUT_SAMPLES_WITH_TOO_MANY_ZEROS { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0f/0f8a5d02e7b31980c887253a9f118da0ef91ead1c7b158caf855199e5c5d5473/data': - 'community.wave.seqera.io/library/polars_python:cab787b788e5eba7' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: tuple val(meta), path(count_file) diff --git a/modules/local/genorm/compute_m_measure/environment.yml b/modules/local/genorm/compute_m_measure/environment.yml index f0eaf3dd..45a97ad0 100644 --- a/modules/local/genorm/compute_m_measure/environment.yml +++ b/modules/local/genorm/compute_m_measure/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.12.8 - - conda-forge::polars==1.35.2 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 diff --git a/modules/local/genorm/compute_m_measure/main.nf b/modules/local/genorm/compute_m_measure/main.nf index 4bdb6d18..0dadf854 100644 --- a/modules/local/genorm/compute_m_measure/main.nf +++ b/modules/local/genorm/compute_m_measure/main.nf @@ -5,8 +5,8 @@ process COMPUTE_M_MEASURE { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0f/0f8a5d02e7b31980c887253a9f118da0ef91ead1c7b158caf855199e5c5d5473/data': - 'community.wave.seqera.io/library/polars_python:cab787b788e5eba7' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: tuple val(meta), path(count_file), path(ratio_files) diff --git a/modules/local/genorm/cross_join/environment.yml b/modules/local/genorm/cross_join/environment.yml index f0eaf3dd..45a97ad0 100644 --- a/modules/local/genorm/cross_join/environment.yml +++ b/modules/local/genorm/cross_join/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.12.8 - - conda-forge::polars==1.35.2 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 diff --git a/modules/local/genorm/cross_join/main.nf b/modules/local/genorm/cross_join/main.nf index 8769aa49..aad36bfa 100644 --- a/modules/local/genorm/cross_join/main.nf +++ b/modules/local/genorm/cross_join/main.nf @@ -5,8 +5,8 @@ process CROSS_JOIN { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0f/0f8a5d02e7b31980c887253a9f118da0ef91ead1c7b158caf855199e5c5d5473/data': - 'community.wave.seqera.io/library/polars_python:cab787b788e5eba7' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: tuple val(meta), path("count_chunk_file_1"), path("count_chunk_file_2") diff --git a/modules/local/genorm/expression_ratio/environment.yml b/modules/local/genorm/expression_ratio/environment.yml index f0eaf3dd..45a97ad0 100644 --- a/modules/local/genorm/expression_ratio/environment.yml +++ b/modules/local/genorm/expression_ratio/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.12.8 - - conda-forge::polars==1.35.2 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 diff --git a/modules/local/genorm/expression_ratio/main.nf b/modules/local/genorm/expression_ratio/main.nf index 2dffb9f8..6a3d1dd6 100644 --- a/modules/local/genorm/expression_ratio/main.nf +++ b/modules/local/genorm/expression_ratio/main.nf @@ -5,8 +5,8 @@ process EXPRESSION_RATIO { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0f/0f8a5d02e7b31980c887253a9f118da0ef91ead1c7b158caf855199e5c5d5473/data': - 'community.wave.seqera.io/library/polars_python:cab787b788e5eba7' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: tuple val(meta), path(file) diff --git a/modules/local/genorm/make_chunks/environment.yml b/modules/local/genorm/make_chunks/environment.yml index f0eaf3dd..45a97ad0 100644 --- a/modules/local/genorm/make_chunks/environment.yml +++ b/modules/local/genorm/make_chunks/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.12.8 - - conda-forge::polars==1.35.2 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 diff --git a/modules/local/genorm/make_chunks/main.nf b/modules/local/genorm/make_chunks/main.nf index 9a91f035..e2802482 100644 --- a/modules/local/genorm/make_chunks/main.nf +++ b/modules/local/genorm/make_chunks/main.nf @@ -5,8 +5,8 @@ process MAKE_CHUNKS { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0f/0f8a5d02e7b31980c887253a9f118da0ef91ead1c7b158caf855199e5c5d5473/data': - 'community.wave.seqera.io/library/polars_python:cab787b788e5eba7' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: tuple val(meta), path(count_file) diff --git a/modules/local/genorm/ratio_standard_variation/environment.yml b/modules/local/genorm/ratio_standard_variation/environment.yml index f0eaf3dd..45a97ad0 100644 --- a/modules/local/genorm/ratio_standard_variation/environment.yml +++ b/modules/local/genorm/ratio_standard_variation/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.12.8 - - conda-forge::polars==1.35.2 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 diff --git a/modules/local/genorm/ratio_standard_variation/main.nf b/modules/local/genorm/ratio_standard_variation/main.nf index ceb972a9..f0279938 100644 --- a/modules/local/genorm/ratio_standard_variation/main.nf +++ b/modules/local/genorm/ratio_standard_variation/main.nf @@ -5,8 +5,8 @@ process RATIO_STANDARD_VARIATION { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0f/0f8a5d02e7b31980c887253a9f118da0ef91ead1c7b158caf855199e5c5d5473/data': - 'community.wave.seqera.io/library/polars_python:cab787b788e5eba7' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: tuple val(meta), path(file) diff --git a/modules/local/get_candidate_genes/environment.yml b/modules/local/get_candidate_genes/environment.yml index f0eaf3dd..45a97ad0 100644 --- a/modules/local/get_candidate_genes/environment.yml +++ b/modules/local/get_candidate_genes/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.12.8 - - conda-forge::polars==1.35.2 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 diff --git a/modules/local/get_candidate_genes/main.nf b/modules/local/get_candidate_genes/main.nf index 31c79c7d..f0d97e92 100644 --- a/modules/local/get_candidate_genes/main.nf +++ b/modules/local/get_candidate_genes/main.nf @@ -4,8 +4,8 @@ process GET_CANDIDATE_GENES { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0f/0f8a5d02e7b31980c887253a9f118da0ef91ead1c7b158caf855199e5c5d5473/data': - 'community.wave.seqera.io/library/polars_python:cab787b788e5eba7' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: path count_file diff --git a/modules/local/impute_missing_values/environment.yml b/modules/local/impute_missing_values/environment.yml index 69fedff0..7be13b15 100644 --- a/modules/local/impute_missing_values/environment.yml +++ b/modules/local/impute_missing_values/environment.yml @@ -4,6 +4,6 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.14.2 - - conda-forge::polars==1.36.1 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 - conda-forge::scikit-learn==1.8.0 diff --git a/modules/local/impute_missing_values/main.nf b/modules/local/impute_missing_values/main.nf index 266ec219..d2618d0e 100644 --- a/modules/local/impute_missing_values/main.nf +++ b/modules/local/impute_missing_values/main.nf @@ -4,8 +4,8 @@ process IMPUTE_MISSING_VALUES { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/eb/eb8feda3812519f6f6f085e1d058f534b0aedba570c1443c4479d79975e81906/data': - 'community.wave.seqera.io/library/polars_scikit-learn:a30d22b117dad962' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/57/5751f4c7c1eb17d92c2863dec2b7505295e56eafb65ea5a9df66876fbffd24e3/data': + 'community.wave.seqera.io/library/polars_python_scikit-learn:041254a8f0633213' }" input: tuple val(meta), path(count_file) diff --git a/modules/local/merge_counts/environment.yml b/modules/local/merge_counts/environment.yml index 4548a2bd..45a97ad0 100644 --- a/modules/local/merge_counts/environment.yml +++ b/modules/local/merge_counts/environment.yml @@ -5,5 +5,4 @@ channels: - bioconda dependencies: - conda-forge::python=3.14.3 - - conda-forge::polars==1.38.1 - - conda-forge::tqdm==4.67.3 + - conda-forge::polars==1.39.2 diff --git a/modules/local/merge_counts/main.nf b/modules/local/merge_counts/main.nf index fd0dd866..d35b428a 100644 --- a/modules/local/merge_counts/main.nf +++ b/modules/local/merge_counts/main.nf @@ -4,8 +4,8 @@ process MERGE_COUNTS { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/eb/ebf9af86c494e5b3e93706ae0d611d28e8788b2e99717f87a1f586ecf30b7067/data': - 'community.wave.seqera.io/library/polars_python_tqdm:ca595df92ae9b061' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: tuple val(meta), path(count_files, stageAs: "?/*") @@ -14,7 +14,6 @@ process MERGE_COUNTS { tuple val(meta), path('all_counts.parquet'), emit: counts tuple val("${task.process}"), val('python'), eval("python3 --version | sed 's/Python //'"), topic: versions tuple val("${task.process}"), val('polars'), eval('python3 -c "import polars; print(polars.__version__)"'), topic: versions - tuple val("${task.process}"), val('tqdm'), eval('python3 -c "import tqdm; print(tqdm.__version__)"'), topic: versions script: """ diff --git a/modules/local/normalisation/compute_cpm/environment.yml b/modules/local/normalisation/compute_cpm/environment.yml index f0eaf3dd..45a97ad0 100644 --- a/modules/local/normalisation/compute_cpm/environment.yml +++ b/modules/local/normalisation/compute_cpm/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.12.8 - - conda-forge::polars==1.35.2 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 diff --git a/modules/local/normalisation/compute_cpm/main.nf b/modules/local/normalisation/compute_cpm/main.nf index 5045c4f4..005ef619 100644 --- a/modules/local/normalisation/compute_cpm/main.nf +++ b/modules/local/normalisation/compute_cpm/main.nf @@ -6,8 +6,8 @@ process NORMALISATION_COMPUTE_CPM { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0f/0f8a5d02e7b31980c887253a9f118da0ef91ead1c7b158caf855199e5c5d5473/data': - 'community.wave.seqera.io/library/polars_python:cab787b788e5eba7' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: tuple val(meta), path(count_file) diff --git a/modules/local/normalisation/compute_tpm/environment.yml b/modules/local/normalisation/compute_tpm/environment.yml index f0eaf3dd..45a97ad0 100644 --- a/modules/local/normalisation/compute_tpm/environment.yml +++ b/modules/local/normalisation/compute_tpm/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.12.8 - - conda-forge::polars==1.35.2 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 diff --git a/modules/local/normalisation/compute_tpm/main.nf b/modules/local/normalisation/compute_tpm/main.nf index c5b57203..d90b35fc 100644 --- a/modules/local/normalisation/compute_tpm/main.nf +++ b/modules/local/normalisation/compute_tpm/main.nf @@ -6,8 +6,8 @@ process NORMALISATION_COMPUTE_TPM { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0f/0f8a5d02e7b31980c887253a9f118da0ef91ead1c7b158caf855199e5c5d5473/data': - 'community.wave.seqera.io/library/polars_python:cab787b788e5eba7' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': + 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" input: tuple val(meta), path(count_file) diff --git a/modules/local/normfinder/environment.yml b/modules/local/normfinder/environment.yml index 8e9b3ad3..3d7ed06f 100644 --- a/modules/local/normfinder/environment.yml +++ b/modules/local/normfinder/environment.yml @@ -4,8 +4,8 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.13.7 - - conda-forge::polars==1.35.2 - - conda-forge::tqdm==4.67.1 - - conda-forge::numpy==2.3.5 - - conda-forge::numba==0.62.1 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 + - conda-forge::tqdm==4.67.3 + - conda-forge::numpy==2.4.3 + - conda-forge::numba==0.64.0 diff --git a/modules/local/normfinder/main.nf b/modules/local/normfinder/main.nf index 5bf4437a..d3ac7809 100644 --- a/modules/local/normfinder/main.nf +++ b/modules/local/normfinder/main.nf @@ -5,17 +5,20 @@ process NORMFINDER { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/0e/0e0445114887dd260f1632afe116b1e81e02e1acc74a86adca55099469b490d9/data': - 'community.wave.seqera.io/library/numba_numpy_polars_tqdm:6923cfab6fc04dec' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/05/0526f3dbdd23175430f0af81763c1079b3b1425b2cdb2491ab54bb9c0d93d480/data': + 'community.wave.seqera.io/library/numba_numpy_polars_python_tqdm:f42e9bc9f30a29ff' }" input: tuple val(meta), path(count_file) path design_file output: - tuple val(meta), path('stability_values.normfinder.csv'), emit: stability_values - tuple val("${task.process}"), val('python'), eval("python3 --version | sed 's/Python //'"), topic: versions - tuple val("${task.process}"), val('polars'), eval('python3 -c "import polars; print(polars.__version__)"'), topic: versions + tuple val(meta), path('stability_values.normfinder.csv'), emit: stability_values + tuple val("${task.process}"), val('python'), eval("python3 --version | sed 's/Python //'"), topic: versions + tuple val("${task.process}"), val('polars'), eval('python3 -c "import polars; print(polars.__version__)"'), topic: versions + tuple val("${task.process}"), val('tqdm'), eval('python3 -c "import tqdm; print(tqdm.__version__)"'), topic: versions + tuple val("${task.process}"), val('numpy'), eval('python3 -c "import numpy; print(numpy.__version__)"'), topic: versions + tuple val("${task.process}"), val('numba'), eval('python3 -c "import numba; print(numba.__version__)"'), topic: versions script: """ diff --git a/modules/local/quantile_normalisation/environment.yml b/modules/local/quantile_normalisation/environment.yml index 69fedff0..7be13b15 100644 --- a/modules/local/quantile_normalisation/environment.yml +++ b/modules/local/quantile_normalisation/environment.yml @@ -4,6 +4,6 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.14.2 - - conda-forge::polars==1.36.1 + - conda-forge::python=3.14.3 + - conda-forge::polars==1.39.2 - conda-forge::scikit-learn==1.8.0 diff --git a/modules/local/quantile_normalisation/main.nf b/modules/local/quantile_normalisation/main.nf index e2eb1074..a9106c2e 100644 --- a/modules/local/quantile_normalisation/main.nf +++ b/modules/local/quantile_normalisation/main.nf @@ -6,8 +6,8 @@ process QUANTILE_NORMALISATION { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/eb/eb8feda3812519f6f6f085e1d058f534b0aedba570c1443c4479d79975e81906/data': - 'community.wave.seqera.io/library/polars_scikit-learn:a30d22b117dad962' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/57/5751f4c7c1eb17d92c2863dec2b7505295e56eafb65ea5a9df66876fbffd24e3/data': + 'community.wave.seqera.io/library/polars_python_scikit-learn:041254a8f0633213' }" input: tuple val(meta), path(count_file) From f02b605be921af3f5f80281cf2867fb76edd4047 Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Fri, 20 Mar 2026 04:50:42 +0100 Subject: [PATCH 03/41] insist on the experimental state of fetching geo datasets in README.md --- nextflow_schema.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nextflow_schema.json b/nextflow_schema.json index 21f7815b..8109b426 100644 --- a/nextflow_schema.json +++ b/nextflow_schema.json @@ -105,8 +105,8 @@ "fetch_geo_accessions": { "type": "boolean", "fa_icon": "fas fa-cloud-arrow-down", - "description": "Fetch GEO accessions from NCBI", - "help_text": "Set this parameter to fetch GEO accessions from NCBI. This feature is experimental and may not work as expected. Please report any issues to https://github.com/nf-core/stableexpression." + "description": "Fetch GEO accessions from NCBI [Experimental]", + "help_text": "Set this parameter to fetch GEO accessions from NCBI. **This feature is experimental and may not work as expected**. Please report any issues to https://github.com/nf-core/stableexpression/issues." }, "accessions": { "type": "string", From 2adc3b4193e6c2d8c49b6350478f4c6b7fd9f7b1 Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Fri, 20 Mar 2026 07:48:50 +0100 Subject: [PATCH 04/41] sort dataframe for output consistency --- bin/detect_rare_genes.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/bin/detect_rare_genes.py b/bin/detect_rare_genes.py index 5235b84c..43ddcf8b 100755 --- a/bin/detect_rare_genes.py +++ b/bin/detect_rare_genes.py @@ -106,10 +106,13 @@ def main(): .unique() ) + # selecting columns for output and sorting (for output consistency) + df = df.select([config.GENE_ID_COLNAME, "total_occurrences_quantile"]).sort( + ["total_occurrences_quantile", "gene_id"], descending=[True, False] + ) + # writing total occurrences in a csv before filtering - df.select([config.GENE_ID_COLNAME, "total_occurrences_quantile"]).sort( - "total_occurrences_quantile", descending=True - ).write_csv(TOTAL_OCCURRENCES_OUTFILE) + df.write_csv(TOTAL_OCCURRENCES_OUTFILE) # filtering genes valid_gene_ids = ( From 817f09cf1a904db8c51650552c81a73701873db7 Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Fri, 20 Mar 2026 07:49:25 +0100 Subject: [PATCH 05/41] sort list of files given to multiqc --- subworkflows/local/reporting/main.nf | 21 ++++++++++----------- 1 file changed, 10 insertions(+), 11 deletions(-) diff --git a/subworkflows/local/reporting/main.nf b/subworkflows/local/reporting/main.nf index 23b75ee3..2a73d43d 100644 --- a/subworkflows/local/reporting/main.nf +++ b/subworkflows/local/reporting/main.nf @@ -271,21 +271,19 @@ workflow REPORTING { // ------------------------------------------------------------------------------------ ch_multiqc_files = channel.empty() - .mix( ch_most_stable_genes_summary.collect() ) - .mix( ch_all_genes_summary.collect() ) - .mix( ch_most_stable_genes_transposed_counts.collect() ) - .mix( channel.topic('eatlas_all_datasets').collect() ) // single item - .mix( channel.topic('eatlas_selected_datasets').collect() ) // single item - .mix( channel.topic('geo_all_datasets').collect() ) // single item - .mix( channel.topic('geo_selected_datasets').collect() ) // single item - .mix( channel.topic('geo_rejected_datasets').collect() ) // single item + .mix( ch_most_stable_genes_summary.collect() ) // single item + .mix( ch_all_genes_summary.collect() ) // single item + .mix( ch_most_stable_genes_transposed_counts.collect() ) // single item + .mix( channel.topic('eatlas_all_datasets').toSortedList() ) + .mix( channel.topic('eatlas_selected_datasets').toSortedList() ) + .mix( channel.topic('geo_all_datasets').toSortedList() ) + .mix( channel.topic('geo_selected_datasets').toSortedList() ) + .mix( channel.topic('geo_rejected_datasets').toSortedList() ) + .mix( channel.topic('total_gene_id_occurrence_quantiles').toSortedList() ) .mix( COLLECT_STATISTICS.out.csv ) .mix( ch_id_mapping_stats ) .mix( ch_missing_values_filter_stats ) .mix( ch_zero_values_filter_stats ) - .mix( channel.topic('total_gene_id_occurrence_quantiles').collect() ) // single item - .mix( channel.topic('mqc_stats_zero_values_filter').collect() ) // single item - .mix( channel.topic('mqc_stats_missing_values_filter').collect() ) // single item .mix( ch_eatlas_failure_reasons ) .mix( ch_eatlas_warning_reasons ) .mix( ch_geo_failure_reasons ) @@ -296,6 +294,7 @@ workflow REPORTING { .mix( ch_normalisation_failure_reasons ) .mix( ch_normalisation_warning_reasons ) + // ------------------------------------------------------------------------------------ // VERSIONS // ------------------------------------------------------------------------------------ From 7d150858e444a72853e51390d77d871644115bde Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Fri, 20 Mar 2026 09:40:57 +0100 Subject: [PATCH 06/41] add wget to geo getdata environment --- modules/local/geo/getdata/environment.yml | 7 ++++--- modules/local/geo/getdata/main.nf | 4 ++-- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/modules/local/geo/getdata/environment.yml b/modules/local/geo/getdata/environment.yml index 1a45cb95..a9e4fb27 100644 --- a/modules/local/geo/getdata/environment.yml +++ b/modules/local/geo/getdata/environment.yml @@ -4,7 +4,8 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::r-base==4.4.3 + - conda-forge::r-base==4.5.3 - conda-forge::r-optparse==1.7.5 - - conda-forge::r-dplyr==1.1.4 - - bioconda::bioconductor-geoquery==2.74.0 + - conda-forge::r-dplyr==1.2.0 + - bioconda::bioconductor-geoquery==2.78.0 + - conda-forge::wget==1.25.0 diff --git a/modules/local/geo/getdata/main.nf b/modules/local/geo/getdata/main.nf index 99040abd..6ab20b83 100644 --- a/modules/local/geo/getdata/main.nf +++ b/modules/local/geo/getdata/main.nf @@ -8,8 +8,8 @@ process GEO_GETDATA { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/4c/4cb08d96e62942e7b6288abf2cfd30e813521a022459700e610325a3a7c0b1c8/data': - 'community.wave.seqera.io/library/bioconductor-geoquery_r-base_r-dplyr_r-optparse:fcd002470b7d6809' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/2d/2dd2efcca10168936aabe4209344f952df791be9a7530ddbd9e89cdbfc426a7c/data': + 'community.wave.seqera.io/library/bioconductor-geoquery_r-base_r-dplyr_r-optparse_wget:f425756c75602053' }" input: val accession From 9e674389af6f7c6ff7c07c345a1ffdffa0a6863c Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Fri, 20 Mar 2026 09:41:20 +0100 Subject: [PATCH 07/41] fix issue not caught in geo get_data --- bin/download_geo_data.R | 41 ++++++++++++++++++++++++++++++++--------- 1 file changed, 32 insertions(+), 9 deletions(-) diff --git a/bin/download_geo_data.R b/bin/download_geo_data.R index 4b8dcc1e..39e64b96 100755 --- a/bin/download_geo_data.R +++ b/bin/download_geo_data.R @@ -379,6 +379,26 @@ get_microarray_counts <- function(platform) { return(counts) } +parse_first_line <- function(filename){ + tryCatch({ + counts <- read.table(filename, header = FALSE, sep = sep, row.names = 1, nrows = 1) + return(counts) + }, error = function(e) { + write_warning(paste("ERROR PARSING FIRST LINE IN", filename, "::", e)) + return(NULL) + }) +} + +download_file <- function(data_url, filename){ + tryCatch({ + download.file(data_url, filename, method = "wget", quiet = TRUE) + return("SUCCESS") + }, error = function(e) { + write_warning(paste("ERROR WHILE DOWNLOADING:", filename)) + return("FAILURE") + }) +} + get_raw_counts_from_url <- function(data_url) { @@ -399,20 +419,23 @@ get_raw_counts_from_url <- function(data_url) { } message(paste("Downloading", filename)) - tryCatch({ - download.file(data_url, filename, method = "wget", quiet = TRUE) - }, error = function(e) { - write_warning(paste("ERROR WHILE DOWNLOADING:", filename)) - return(NULL) - }) + download_status <- download_file(data_url, filename) + if (download_status == "FAILURE") { + return(NULL) + } separator <- NULL for (sep in c("\t", ",", " ")) { + # parsing the first line to determine the separator and see if there is a header - counts <- read.table(filename, header = FALSE, sep = sep, row.names = 1, nrows = 1) - if (ncol(counts) > 0) { + first_line <- parse_first_line(filename) + if (is.null(first_line)) { + return(NULL) + } + + if (ncol(first_line) > 0) { separator <- sep - if (is.numeric(counts[1, 1])) { + if (is.numeric(first_line[1, 1])) { has_header <- FALSE } else { has_header <- TRUE From a58b2ef2b193664380bcda9c4f89a57580fe2451 Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Sat, 21 Mar 2026 08:43:36 +0100 Subject: [PATCH 08/41] fix bug introduced in detect_rare_genes.py --- bin/detect_rare_genes.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/bin/detect_rare_genes.py b/bin/detect_rare_genes.py index 43ddcf8b..02cc2831 100755 --- a/bin/detect_rare_genes.py +++ b/bin/detect_rare_genes.py @@ -106,13 +106,13 @@ def main(): .unique() ) - # selecting columns for output and sorting (for output consistency) - df = df.select([config.GENE_ID_COLNAME, "total_occurrences_quantile"]).sort( - ["total_occurrences_quantile", "gene_id"], descending=[True, False] - ) + # sorting (for output consistency) + df = df.sort(["total_occurrences_quantile", "gene_id"], descending=[True, False]) # writing total occurrences in a csv before filtering - df.write_csv(TOTAL_OCCURRENCES_OUTFILE) + df.select([config.GENE_ID_COLNAME, "total_occurrences_quantile"]).write_csv( + TOTAL_OCCURRENCES_OUTFILE + ) # filtering genes valid_gene_ids = ( From 1ade9dbb12ea857eb930fb9fcfa27b31d9235f79 Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Sun, 22 Mar 2026 09:39:54 +0100 Subject: [PATCH 09/41] fix bugs in download_geo_data.R --- bin/download_geo_data.R | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/bin/download_geo_data.R b/bin/download_geo_data.R index 39e64b96..2686f13c 100755 --- a/bin/download_geo_data.R +++ b/bin/download_geo_data.R @@ -379,12 +379,12 @@ get_microarray_counts <- function(platform) { return(counts) } -parse_first_line <- function(filename){ +parse_first_line <- function(filename, sep){ tryCatch({ counts <- read.table(filename, header = FALSE, sep = sep, row.names = 1, nrows = 1) return(counts) }, error = function(e) { - write_warning(paste("ERROR PARSING FIRST LINE IN", filename, "::", e)) + write_warning(paste("ERROR PARSING FIRST LINE IN", filename)) return(NULL) }) } @@ -428,7 +428,7 @@ get_raw_counts_from_url <- function(data_url) { for (sep in c("\t", ",", " ")) { # parsing the first line to determine the separator and see if there is a header - first_line <- parse_first_line(filename) + first_line <- parse_first_line(filename, sep) if (is.null(first_line)) { return(NULL) } @@ -453,7 +453,7 @@ get_raw_counts_from_url <- function(data_url) { tryCatch({ counts <- read.table(filename, header = has_header, sep = separator, row.names = 1) }, error = function(e) { - write_warning(paste("ERROR WHILE PARSING", filename, ":", e)) + write_warning(paste("ERROR WHILE PARSING", filename)) return(NULL) }) @@ -816,6 +816,8 @@ main <- function() { write_warning(paste("UNSUPPORTED PLATFORM:", series$experiment_type)) } } + + message("Done") } From b552b9023ebbe65c6652df3a6dab88b32ff41d23 Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Sun, 22 Mar 2026 09:41:00 +0100 Subject: [PATCH 10/41] prevent modules from publising failure and warning reason files --- conf/modules/id_mapping.config | 5 ++++- conf/modules/normalisation.config | 10 ++++++++-- conf/modules/public_data.config | 10 ++++++++-- 3 files changed, 20 insertions(+), 5 deletions(-) diff --git a/conf/modules/id_mapping.config b/conf/modules/id_mapping.config index 4ebee81f..4e048a37 100644 --- a/conf/modules/id_mapping.config +++ b/conf/modules/id_mapping.config @@ -17,7 +17,10 @@ process { withName: FILTER_AND_RENAME_GENES { publishDir = [ path: { "${params.outdir}/idmapping/renamed" }, - mode: params.publish_dir_mode + mode: params.publish_dir_mode, + saveAs: { + filename -> ["failure_reason.txt", "warning_reason.txt"].contains(filename) ? null : filename + } ] } diff --git a/conf/modules/normalisation.config b/conf/modules/normalisation.config index 92b62faf..94aa5dc7 100644 --- a/conf/modules/normalisation.config +++ b/conf/modules/normalisation.config @@ -3,14 +3,20 @@ process { withName: COMPUTE_CPM { publishDir = [ path: { "${params.outdir}/normalised/cpm/${meta.dataset}/" }, - mode: params.publish_dir_mode + mode: params.publish_dir_mode, + saveAs: { + filename -> ["failure_reason.txt", "warning_reason.txt"].contains(filename) ? null : filename + } ] } withName: COMPUTE_TPM { publishDir = [ path: { "${params.outdir}/normalised/tpm/${meta.dataset}/" }, - mode: params.publish_dir_mode + mode: params.publish_dir_mode, + saveAs: { + filename -> ["failure_reason.txt", "warning_reason.txt"].contains(filename) ? null : filename + } ] } diff --git a/conf/modules/public_data.config b/conf/modules/public_data.config index df10451b..9198c9e2 100644 --- a/conf/modules/public_data.config +++ b/conf/modules/public_data.config @@ -11,7 +11,10 @@ process { publishDir = [ path: { "${params.outdir}/public_data/expression_atlas/datasets/" }, - mode: params.publish_dir_mode + mode: params.publish_dir_mode, + saveAs: { + filename -> ["failure_reason.txt", "warning_reason.txt"].contains(filename) ? null : filename + } ] } @@ -26,7 +29,10 @@ process { withName: GEO_GETDATA { publishDir = [ path: { "${params.outdir}/public_data/geo/datasets/" }, - mode: params.publish_dir_mode + mode: params.publish_dir_mode, + saveAs: { + filename -> ["failure_reason.txt", "warning_reason.txt"].contains(filename) ? null : filename + } ] } From 510992d5688f035008cb6b55838a7eeaa8bc4440 Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Sun, 22 Mar 2026 09:42:50 +0100 Subject: [PATCH 11/41] update tests --- tests/.nftignore | 12 +- tests/default.nf.test | 116 +- tests/default.nf.test.snap | 1533 ++++++++++------- .../main.nf.test.snap | 8 +- .../expressionatlas/getdata/main.nf.test.snap | 30 +- .../filter_and_rename_genes/main.nf.test.snap | 22 +- .../local/genorm/cross_join/main.nf.test.snap | 10 +- .../local/merge_counts/main.nf.test.snap | 15 +- .../compute_cpm/main.nf.test.snap | 44 +- .../compute_tpm/main.nf.test.snap | 40 +- .../local/normfinder/main.nf.test.snap | 30 +- .../quantile_normalisation/main.nf.test.snap | 20 +- .../main.nf.test.snap | 42 +- 13 files changed, 1093 insertions(+), 829 deletions(-) diff --git a/tests/.nftignore b/tests/.nftignore index 4d022cb7..83f7a0a5 100644 --- a/tests/.nftignore +++ b/tests/.nftignore @@ -1,6 +1,10 @@ .DS_Store +multiqc/multiqc_data/multiqc.parquet +multiqc/multiqc_data/multiqc.log +multiqc/multiqc_data/multiqc_data.json +multiqc/multiqc_data/multiqc_sources.txt +multiqc/multiqc_data/multiqc_software_versions.txt +multiqc/multiqc_data/llms-full.txt +multiqc/multiqc_plots/{svg,pdf,png}/*.{svg,pdf,png} +multiqc/multiqc_report.html pipeline_info/*.{html,json,txt,yml} -multiqc/** -**.parquet -**.metadata.tsv -**.py diff --git a/tests/default.nf.test b/tests/default.nf.test index 5213b474..55295e5a 100644 --- a/tests/default.nf.test +++ b/tests/default.nf.test @@ -5,15 +5,11 @@ nextflow_pipeline { tag "pipeline" test("-profile test") { - tag "test" when { params { species = 'beta vulgaris' - keywords = "leaf" - datasets = "https://raw.githubusercontent.com/nf-core/test-datasets/stableexpression/test_data/input_datasets/input_beta_vulgaris.csv" - fetch_geo_accessions = true outdir = "$outputDir" } } @@ -57,43 +53,62 @@ nextflow_pipeline { } } - test("-profile test_accessions_only") { - tag "test_accessions_only" + test("-profile test_public_and_dataset") { + tag "test_public_and_dataset" when { params { species = 'beta vulgaris' - accessions_only = true + keywords = "leaf" + datasets = "https://raw.githubusercontent.com/nf-core/test-datasets/stableexpression/test_data/input_datasets/input_beta_vulgaris.csv" outdir = "$outputDir" } } then { - // stable_name: All files + folders in ${params.outdir}/ with a stable name def stable_name = getAllFilesFromDir(params.outdir, relative: true, includeDir: true, ignore: ['pipeline_info/*.{html,json,txt}']) - // stable_path: All files in ${params.outdir}/ with stable content def stable_path = getAllFilesFromDir(params.outdir, ignoreFile: 'tests/.nftignore') assertAll( { assert workflow.success}, { assert snapshot( - // pipeline versions.yml file for multiqc from which Nextflow version is removed because we test pipelines on multiple Nextflow versions - removeNextflowVersion("$outputDir/pipeline_info/nf_core_stableexpression_software_mqc_versions.yml"), - // All stable path name, with a relative path stable_name, - // All files with stable contents stable_path ).match() } ) } } - test("-profile test_download_only") { - tag "test_download_only" + test("-profile test_fetch_geo") { + tag "test_fetch_geo" when { params { species = 'beta vulgaris' - download_only = true + fetch_geo_accessions = true + outdir = "$outputDir" + } + } + + then { + def stable_name = getAllFilesFromDir(params.outdir, relative: true, includeDir: true, ignore: ['pipeline_info/*.{html,json,txt}']) + def stable_path = getAllFilesFromDir(params.outdir, ignoreFile: 'tests/.nftignore') + assertAll( + { assert workflow.success}, + { assert snapshot( + stable_name, + stable_path + ).match() } + ) + } + } + + test("-profile test_accessions_only") { + tag "test_accessions_only" + + when { + params { + species = 'beta vulgaris' + accessions_only = true outdir = "$outputDir" } } @@ -117,39 +132,44 @@ nextflow_pipeline { } } - test("-profile test_one_accession_low_gene_count") { - tag "test_one_accession_low_gene_count" + test("-profile test_download_only") { + tag "test_download_only" when { params { - species = 'arabidopsis thaliana' - accessions = "E-GEOD-51720" - skip_fetch_eatlas_accessions = true + species = 'beta vulgaris' + download_only = true outdir = "$outputDir" } } then { + // stable_name: All files + folders in ${params.outdir}/ with a stable name def stable_name = getAllFilesFromDir(params.outdir, relative: true, includeDir: true, ignore: ['pipeline_info/*.{html,json,txt}']) + // stable_path: All files in ${params.outdir}/ with stable content def stable_path = getAllFilesFromDir(params.outdir, ignoreFile: 'tests/.nftignore') assertAll( { assert workflow.success}, { assert snapshot( + // pipeline versions.yml file for multiqc from which Nextflow version is removed because we test pipelines on multiple Nextflow versions removeNextflowVersion("$outputDir/pipeline_info/nf_core_stableexpression_software_mqc_versions.yml"), + // All stable path name, with a relative path stable_name, + // All files with stable contents stable_path ).match() } ) } } - test("-profile test_eatlas_only_with_keywords") { - tag "test_eatlas_only_with_keywords" + test("-profile test_one_accession_low_gene_count") { + tag "test_one_accession_low_gene_count" when { params { - species = 'beta vulgaris' - keywords = "leaf" + species = 'arabidopsis thaliana' + accessions = "E-GEOD-51720" + skip_fetch_eatlas_accessions = true outdir = "$outputDir" } } @@ -225,23 +245,6 @@ nextflow_pipeline { } } - /* - test("-profile test_no_dataset_found") { - tag "test_no_dataset_found" - - when { - params { - species = 'marmota_marmota_marmota' - outdir = "$outputDir" - } - } - - then { - assert !workflow.success - } - } - */ - test("-profile test_included_and_excluded_accessions") { tag "test_included_and_excluded_accessions" @@ -298,33 +301,4 @@ nextflow_pipeline { } } - test("-profile test_bigger_with_genorm") { - tag "test_bigger_with_genorm" - - when { - params { - species = 'arabidopsis_lyrata' - run_genorm = true - outdir = "$outputDir" - } - } - - then { - // stable_name: All files + folders in ${params.outdir}/ with a stable name - def stable_name = getAllFilesFromDir(params.outdir, relative: true, includeDir: true, ignore: ['pipeline_info/*.{html,json,txt}']) - // stable_path: All files in ${params.outdir}/ with stable content - def stable_path = getAllFilesFromDir(params.outdir, ignoreFile: 'tests/.nftignore') - assertAll( - { assert workflow.success}, - { assert snapshot( - // pipeline versions.yml file for multiqc from which Nextflow version is removed because we test pipelines on multiple Nextflow versions - removeNextflowVersion("$outputDir/pipeline_info/nf_core_stableexpression_software_mqc_versions.yml"), - // All stable path name, with a relative path - stable_name, - // All files with stable contents - stable_path - ).match() } - ) - } - } } diff --git a/tests/default.nf.test.snap b/tests/default.nf.test.snap index 6f9f2b01..46f7b93c 100644 --- a/tests/default.nf.test.snap +++ b/tests/default.nf.test.snap @@ -3,13 +3,13 @@ "content": [ { "AGGREGATE_RESULTS": { - "polars": "1.37.1", - "python": "3.14.2", + "polars": "1.39.2", + "python": "3.14.3", "pyyaml": "6.0.3" }, "CLEAN_GENE_IDS": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "COLLECT_ALL_GENE_IDS": { "python": "3.14.2", @@ -24,39 +24,39 @@ "python": "3.13.7" }, "COMPUTE_M_MEASURE": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "COMPUTE_STABILITY_SCORES": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "COMPUTE_TPM": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "CROSS_JOIN": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "DASH_APP": { - "python": "3.13.8", - "dash": "3.2.0", + "python": "3.14.3", + "dash": "3.3.0", "dash-extensions": "2.0.4", - "dash-mantine-components": "2.3.0", + "dash-mantine-components": "2.4.0", "dash-ag-grid": "32.3.2", - "polars": "1.35.0", + "polars": "1.39.2", "pandas": "2.3.3", - "pyarrow": "22.0.0", - "scipy": "1.16.3" + "pyarrow": "23.0.1", + "scipy": "1.17.1" }, "DESCRIPTIVE_STATISTICS": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "DETECT_RARE_GENES": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "DOWNLOAD_ENSEMBL_ANNOTATION": { "bs4": "4.14.3", @@ -66,25 +66,24 @@ "tqdm": "4.67.3" }, "EXPRESSION_RATIO": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "EXTRACT_GENE_IDS": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "FILTER_AND_RENAME_GENES": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "GET_CANDIDATE_GENES": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "GLOBAL": { - "polars": "1.38.1", - "python": "3.14.3", - "tqdm": "4.67.3" + "polars": "1.39.2", + "python": "3.14.3" }, "GPROFILER_IDMAPPING": { "httpx": "0.28.1", @@ -92,39 +91,41 @@ "python": "3.14.3" }, "IMPUTE_MISSING_VALUES": { - "polars": "1.36.1", - "python": "3.14.2", + "polars": "1.39.2", + "python": "3.14.3", "scikit-learn": "1.8.0" }, "MAKE_CHUNKS": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "NORMFINDER": { - "polars": "1.33.1", - "python": "3.13.7" - }, - "PLATFORM": { - "polars": "1.38.1", + "numba": "0.64.0", + "numpy": "2.4.3", + "polars": "1.39.2", "python": "3.14.3", "tqdm": "4.67.3" }, + "PLATFORM": { + "polars": "1.39.2", + "python": "3.14.3" + }, "QUANTILE_NORMALISATION": { - "polars": "1.36.1", - "python": "3.14.2", + "polars": "1.39.2", + "python": "3.14.3", "scikit-learn": "1.8.0" }, "RATIO_STANDARD_VARIATION": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "TOO_MANY_MISSING_VALUES": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "TOO_MANY_ZEROS": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "Workflow": { "nf-core/stableexpression": "v1.0.0" @@ -215,7 +216,6 @@ "idmapping/gprofiler/mapped_gene_ids.csv", "idmapping/renamed", "idmapping/renamed/SRP254919.salmon.merged.gene_counts.top1000cov.assay.cleaned.renamed.parquet", - "idmapping/renamed/warning_reason.txt", "merged_datasets", "merged_datasets/whole_design.csv", "multiqc", @@ -350,24 +350,93 @@ "section_8.most_stable_genes_transposed_counts.csv:md5,35e02009d4aff77f0fca02711a8ad058", "section_9.most_stable_genes_summary.csv:md5,0e7776950594471fc8dfb914eed0a17a", "section_9.most_stable_genes_transposed_counts.csv:md5,e102dcbb3bdcec1bd724adbd772655d1", + "app.py:md5,bb43a37542f3525925e68e41f26b3eb3", "style.css:md5,e6ba182eaf06980dbda49920efbf6e64", + "all_counts.imputed.parquet:md5,8c7a5a2bc367bc483c78c250abd8a06f", "all_genes_summary.csv:md5,67694aeb7cb1bec8e31a604fa5350783", "whole_design.csv:md5,f29515bc2c783e593fb9028127342593", - "environment.yml:md5,f9b192ef98a67f2084ad2fed6da01bc1", + "environment.yml:md5,dd081780e1f98d34b13289d019f8bb5b", + "common.py:md5,2579b1cf40bc1f19bf4d6cf9e7ee3261", + "genes.py:md5,680cb5f4e107a3b091821917d72a555c", + "samples.py:md5,ebe1620fd6a7280933c6e82f05b04820", + "graphs.py:md5,acdc8511cfcd2ea77ba7a90c3250fd17", + "icons.py:md5,3e66bae5ceca3dfbd190d88db0dc0828", + "right_sidebar.py:md5,7d062dd7b7b891ea04275a03eca49f8e", + "genes.py:md5,bf00a35192a594861a809a0fdfd73fc3", + "samples.py:md5,1d145b9c85f61ab340857e87a728bc54", + "stores.py:md5,6e829f7950f09c7c9b10568de41baca2", + "tables.py:md5,0cc5a469719e67a3b6ae0d11cd35cc66", + "tooltips.py:md5,3f6e77c5bc52d3ae8b64420c50f5daa1", + "top.py:md5,fb907f3f053a0973df8c7a4c8151baf3", + "config.py:md5,26c75ba54e5c636b291dc8d2bd685004", + "data_management.py:md5,6a4a5268f808fe198a4a6e4b6d06c5f3", + "style.py:md5,5dc95d725903350537940a41cae355dd", "Mus_musculus.GRCm39.115.chr.gff3.gz:md5,66a5d70eeb2ce9685ca871fc7b0f4f96", "gene_transcript_lengths.csv:md5,09e2d2a8881df9aa96ee71802e9c3451", "global_gene_id_mapping.csv:md5,78934d2ac5fe7d863f114c5703f57a06", "global_gene_metadata.csv:md5,bd76860b422e45eca7cd583212a977d2", "gene_metadata.csv:md5,bd76860b422e45eca7cd583212a977d2", "mapped_gene_ids.csv:md5,78934d2ac5fe7d863f114c5703f57a06", - "warning_reason.txt:md5,b13d82afc1a3752e78dd796fb1c53d52", + "SRP254919.salmon.merged.gene_counts.top1000cov.assay.cleaned.renamed.parquet:md5,5e1319b58bb414274a47661fd46eb681", "whole_design.csv:md5,f29515bc2c783e593fb9028127342593", + "multiqc_citations.txt:md5,4c806e63a283ec1b7e78cdae3a923d4f", + "multiqc_gene_statistics.txt:md5,9285ae2cfc531a0987e3172be0aa6483", + "multiqc_genes_section_1.txt:md5,3d44381703173383e455e59e84c3ecd9", + "multiqc_genes_section_1_1.txt:md5,49f24363739b3b2952ad813b0a1dc7c9", + "multiqc_genes_section_1_10.txt:md5,23eda043b3773d143f42c79943785baa", + "multiqc_genes_section_1_11.txt:md5,f221ca530b336e01b6c5a7f3a74b4262", + "multiqc_genes_section_1_12.txt:md5,df9f14313b281daae80438b134f25326", + "multiqc_genes_section_1_13.txt:md5,186cbc4df4a2d8bb05ff272725ad573e", + "multiqc_genes_section_1_14.txt:md5,efb4bfa55b0981b5b683a5d3bcf4fee3", + "multiqc_genes_section_1_15.txt:md5,cc47d6728943dafbdf0fa65ef0d075d9", + "multiqc_genes_section_1_16.txt:md5,35b7292de1819b89ece3df46081e6db3", + "multiqc_genes_section_1_17.txt:md5,8468a21c35f53afffe1f3f5a49f56aa7", + "multiqc_genes_section_1_18.txt:md5,8f2906665b62c75ab1786214124c02d1", + "multiqc_genes_section_1_19.txt:md5,d879c38bd6016d13a55adf59b4de7d99", + "multiqc_genes_section_1_2.txt:md5,58126f33166e756917d3fca0c66aafa8", + "multiqc_genes_section_1_3.txt:md5,dded6f5abee4f377eb093d6b95b6daa0", + "multiqc_genes_section_1_4.txt:md5,2c9a3ba7a78140a1e01afcc15b35c835", + "multiqc_genes_section_1_5.txt:md5,cddedab71e149bb731d6dee130dbea65", + "multiqc_genes_section_1_6.txt:md5,8c21ab38a3c761b0fefc029812b1cc35", + "multiqc_genes_section_1_7.txt:md5,d5779f1d0e92d80de7dc728e375d57ee", + "multiqc_genes_section_1_8.txt:md5,66e168eafc2bd8be9e9a397d0fc1c4b9", + "multiqc_genes_section_1_9.txt:md5,62a4f655b779f14b751e47f32bf7ccf1", + "multiqc_id_mapping_stats.txt:md5,600e9fa5656a06a3288ea7e6d9fef647", + "multiqc_normalised_expr_distrib_section_1.txt:md5,342306198c5930791d9255b481b6daa8", + "multiqc_normalised_expr_distrib_section_1_1.txt:md5,3a1b52103dd52cceeede5b99f0c18d1c", + "multiqc_normalised_expr_distrib_section_1_10.txt:md5,69d9ea655368e4b61ea3c49dc336ccc3", + "multiqc_normalised_expr_distrib_section_1_11.txt:md5,cf5fcd0fb87409255e88f808993570a8", + "multiqc_normalised_expr_distrib_section_1_12.txt:md5,e0767d376933c8849a08ba998acaee39", + "multiqc_normalised_expr_distrib_section_1_13.txt:md5,76d7fd5652e923ad09000bc80f9aa4ca", + "multiqc_normalised_expr_distrib_section_1_14.txt:md5,ce675ff07c194b1c975879f3288a27e8", + "multiqc_normalised_expr_distrib_section_1_15.txt:md5,5936ef07006c81b688289ec764994932", + "multiqc_normalised_expr_distrib_section_1_16.txt:md5,1a5a56d8661bcc0f986058a90ebb81b0", + "multiqc_normalised_expr_distrib_section_1_17.txt:md5,8c4c83bdcc648b4cbd5876c58d8c30d8", + "multiqc_normalised_expr_distrib_section_1_18.txt:md5,832ad87d6f4689a459e443a032f67f9d", + "multiqc_normalised_expr_distrib_section_1_19.txt:md5,83be81b32d7c48685015c2ede21fb511", + "multiqc_normalised_expr_distrib_section_1_2.txt:md5,f1e22de47e393569f3d193a30bbdc9cd", + "multiqc_normalised_expr_distrib_section_1_3.txt:md5,9e190919da3fc866beb78076ad8c4a33", + "multiqc_normalised_expr_distrib_section_1_4.txt:md5,3712b42a48fa257ad75f2deba10f631d", + "multiqc_normalised_expr_distrib_section_1_5.txt:md5,d927439c8e03a2e6f2ad18f16a90afff", + "multiqc_normalised_expr_distrib_section_1_6.txt:md5,b2d87c20485c9ffdd0237c4372d9d6e9", + "multiqc_normalised_expr_distrib_section_1_7.txt:md5,d18c331b910ce9702b5a977521c39aa1", + "multiqc_normalised_expr_distrib_section_1_8.txt:md5,1a6c7f079559251385f268beee39c9cb", + "multiqc_normalised_expr_distrib_section_1_9.txt:md5,688908e507b313d477957cb1d7d6e1a2", + "multiqc_null_values_filter.txt:md5,64ca3e3acc613e1b85733fd847712a37", + "multiqc_ratio_nulls.txt:md5,7063b06cadcf854671bc9cefb51a6fe3", + "multiqc_ratio_zeros.txt:md5,7063b06cadcf854671bc9cefb51a6fe3", + "multiqc_renaming_warning_reasons.txt:md5,6e3001e79809e518b23efc517fc5bc67", + "multiqc_skewness.txt:md5,8e46fd80b0c2d1785775571e74ab7994", + "multiqc_total_gene_id_occurrence_quantiles.txt:md5,ca154d649786ea5336e7c9e980f00eac", + "multiqc_zero_values_filter.txt:md5,64ca3e3acc613e1b85733fd847712a37", + "SRP254919.salmon.merged.gene_counts.top1000cov.assay.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet:md5,9fe0de399237e89cc8e4df6fa775d4b0", + "SRP254919.salmon.merged.gene_counts.top1000cov.assay.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.parquet:md5,da24ac8d0594e03926d4a0a698bf2c7f", "id_mapping_stats.csv:md5,b47d6ebd34e3fb11a40665b0a38db3da", "missing_values_filter_stats.csv:md5,310182ec872cf37ffb81370dfcd01207", "ratio_nulls.csv:md5,2272ebcf58ac8bb283d238f87d508b96", "ratio_nulls_per_sample.csv:md5,375371c6d3e58ae69430f0e96b71920d", "ratio_zeros.csv:md5,2272ebcf58ac8bb283d238f87d508b96", - "skewness.csv:md5,53ec3b48ccd9dd0fa91df297cbac92f4", + "skewness.csv:md5,a002bba76a07fcb14897928cb6ee8412", "zero_values_filter_stats.csv:md5,310182ec872cf37ffb81370dfcd01207", "renaming_warning_reasons.tsv:md5,0a11a59b5b547a39ab7a0e4dac622173" ] @@ -376,148 +445,10 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-23T18:30:50.491816768" + "timestamp": "2026-03-21T12:21:53.030465877" }, - "-profile test_eatlas_only_with_keywords": { + "-profile test_fetch_geo": { "content": [ - { - "AGGREGATE_RESULTS": { - "polars": "1.37.1", - "python": "3.14.2", - "pyyaml": "6.0.3" - }, - "CLEAN_GENE_IDS": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "COLLECT_ALL_GENE_IDS": { - "python": "3.14.2", - "tqdm": "4.67.1" - }, - "COLLECT_STATISTICS": { - "pandas": "2.3.3", - "python": "3.13.7" - }, - "COMPUTE_GENE_TRANSCRIPT_LENGTHS": { - "pandas": "2.3.3", - "python": "3.13.7" - }, - "COMPUTE_M_MEASURE": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "COMPUTE_STABILITY_SCORES": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "COMPUTE_TPM": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "CROSS_JOIN": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "DASH_APP": { - "python": "3.13.8", - "dash": "3.2.0", - "dash-extensions": "2.0.4", - "dash-mantine-components": "2.3.0", - "dash-ag-grid": "32.3.2", - "polars": "1.35.0", - "pandas": "2.3.3", - "pyarrow": "22.0.0", - "scipy": "1.16.3" - }, - "DESCRIPTIVE_STATISTICS": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "DETECT_RARE_GENES": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "DOWNLOAD_ENSEMBL_ANNOTATION": { - "bs4": "4.14.3", - "httpx": "0.28.1", - "pandas": "3.0.1", - "python": "3.14.3", - "tqdm": "4.67.3" - }, - "EXPRESSION_ATLAS": { - "ExpressionAtlas": "1.30.0", - "R": "4.3.3 (2024-02-29)", - "httpx": "0.28.1", - "nltk": "3.9.2", - "pandas": "3.0.1", - "python": "3.14.3", - "pyyaml": "6.0.3" - }, - "EXPRESSION_RATIO": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "EXTRACT_GENE_IDS": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "FILTER_AND_RENAME_GENES": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "GET_CANDIDATE_GENES": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "GLOBAL": { - "polars": "1.38.1", - "python": "3.14.3", - "tqdm": "4.67.3" - }, - "GPROFILER_IDMAPPING": { - "httpx": "0.28.1", - "pandas": "3.0.1", - "python": "3.14.3" - }, - "IMPUTE_MISSING_VALUES": { - "polars": "1.36.1", - "python": "3.14.2", - "scikit-learn": "1.8.0" - }, - "MAKE_CHUNKS": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "NORMFINDER": { - "polars": "1.33.1", - "python": "3.13.7" - }, - "PLATFORM": { - "polars": "1.38.1", - "python": "3.14.3", - "tqdm": "4.67.3" - }, - "QUANTILE_NORMALISATION": { - "polars": "1.36.1", - "python": "3.14.2", - "scikit-learn": "1.8.0" - }, - "RATIO_STANDARD_VARIATION": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "TOO_MANY_MISSING_VALUES": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "TOO_MANY_ZEROS": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "Workflow": { - "nf-core/stableexpression": "v1.0.0" - } - }, [ "aggregated", "aggregated/all_genes_summary.csv", @@ -595,6 +526,7 @@ "gene_length", "gene_length/Beta_vulgaris.RefBeet-1.2.2.62.gff3.gz", "gene_length/gene_transcript_lengths.csv", + "geo", "idmapping", "idmapping/global_gene_id_mapping.csv", "idmapping/global_gene_metadata.csv", @@ -603,6 +535,7 @@ "idmapping/gprofiler/mapped_gene_ids.csv", "idmapping/renamed", "idmapping/renamed/E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet", + "idmapping/renamed/GSE55951_GPL18429.microarray.normalised.counts.cleaned.renamed.parquet", "merged_datasets", "merged_datasets/whole_design.csv", "multiqc", @@ -635,6 +568,10 @@ "multiqc/multiqc_data/multiqc_genes_section_1_7.txt", "multiqc/multiqc_data/multiqc_genes_section_1_8.txt", "multiqc/multiqc_data/multiqc_genes_section_1_9.txt", + "multiqc/multiqc_data/multiqc_geo_all_experiments_metadata.txt", + "multiqc/multiqc_data/multiqc_geo_rejected_experiments_metadata.txt", + "multiqc/multiqc_data/multiqc_geo_selected_experiments_metadata.txt", + "multiqc/multiqc_data/multiqc_geo_warning_reasons.txt", "multiqc/multiqc_data/multiqc_id_mapping_stats.txt", "multiqc/multiqc_data/multiqc_normalised_expr_distrib_section_1.txt", "multiqc/multiqc_data/multiqc_normalised_expr_distrib_section_1_1.txt", @@ -659,6 +596,7 @@ "multiqc/multiqc_data/multiqc_null_values_filter.txt", "multiqc/multiqc_data/multiqc_ratio_nulls.txt", "multiqc/multiqc_data/multiqc_ratio_zeros.txt", + "multiqc/multiqc_data/multiqc_renaming_warning_reasons.txt", "multiqc/multiqc_data/multiqc_skewness.txt", "multiqc/multiqc_data/multiqc_software_versions.txt", "multiqc/multiqc_data/multiqc_sources.txt", @@ -693,6 +631,21 @@ "public_data/expression_atlas/datasets", "public_data/expression_atlas/datasets/E_MTAB_8187_rnaseq.design.csv", "public_data/expression_atlas/datasets/E_MTAB_8187_rnaseq.rnaseq.raw.counts.csv", + "public_data/geo", + "public_data/geo/accessions", + "public_data/geo/accessions/accessions.txt", + "public_data/geo/accessions/geo_all_datasets.metadata.tsv", + "public_data/geo/accessions/geo_rejected_datasets.metadata.tsv", + "public_data/geo/accessions/geo_selected_datasets.metadata.tsv", + "public_data/geo/datasets", + "public_data/geo/datasets/GSE55951_GPL18429.microarray.normalised.counts.csv", + "public_data/geo/datasets/GSE55951_GPL18429.microarray.normalised.design.csv", + "public_data/geo/datasets/rejected", + "public_data/geo/datasets/rejected/GSE135555_suppl", + "public_data/geo/datasets/rejected/GSE135555_suppl/GSE135555_suppl.rnaseq.raw.counts.csv", + "public_data/geo/datasets/rejected/GSE135555_suppl/GSE135555_suppl.rnaseq.raw.design.csv", + "public_data/geo/datasets/rejected/GSE135555_suppl/GSE135555_suppl.rnaseq.raw.platform_metadata.csv", + "public_data/geo/datasets/rejected/GSE135555_suppl/GSE135555_suppl.rnaseq.raw.sample_name_mapping.csv", "statistics", "statistics/id_mapping_stats.csv", "statistics/missing_values_filter_stats.csv", @@ -701,12 +654,14 @@ "statistics/ratio_zeros.csv", "statistics/skewness.csv", "statistics/zero_values_filter_stats.csv", - "warnings" + "warnings", + "warnings/geo_warning_reasons.csv", + "warnings/renaming_warning_reasons.tsv" ], [ - "all_genes_summary.csv:md5,e3f8d59accf267c351d0a995ffc9ebf5", + "all_genes_summary.csv:md5,75d3db24909c578bbc764585cc25bde3", "custom_content_multiqc_config.yaml:md5,e048085491cb74658cf363545b1278fe", - "section_1.most_stable_genes_summary.csv:md5,be640cd7efc6a7ac3df989b9ab9a6448", + "section_1.most_stable_genes_summary.csv:md5,52ac3fc87801720530cd8ed8bd027698", "section_1.most_stable_genes_transposed_counts.csv:md5,8363bc69b84c68fe4ecea13b6dc70d98", "section_10.most_stable_genes_summary.csv:md5,41c3ba1e338277e40e03c9b043059cb0", "section_10.most_stable_genes_transposed_counts.csv:md5,4a599908cea31077650911161a4fd155", @@ -728,11 +683,11 @@ "section_18.most_stable_genes_transposed_counts.csv:md5,29fc2248ad428cb3ac8898b0a5471eec", "section_19.most_stable_genes_summary.csv:md5,5acc2a1b1980004f88c0584a8cf0784e", "section_19.most_stable_genes_transposed_counts.csv:md5,9586c452f93c486ed667fb343af3b13c", - "section_2.most_stable_genes_summary.csv:md5,95e986dad2f0232070aa47079b6465c1", + "section_2.most_stable_genes_summary.csv:md5,b0f6113c0d0b1994ceb844f884c22083", "section_2.most_stable_genes_transposed_counts.csv:md5,b22984d5b00ee4540fca59b5585a0a88", "section_20.most_stable_genes_summary.csv:md5,9d9c5cd95d1d1a350a8d1f2ce363f882", "section_20.most_stable_genes_transposed_counts.csv:md5,e9f4187bdc7079c3130bdff1e4ebf575", - "section_3.most_stable_genes_summary.csv:md5,7825d8dbcfd1c4e5a4e4ca42268d4ea8", + "section_3.most_stable_genes_summary.csv:md5,a440355a3a59a13bb2a3f2def5e936d4", "section_3.most_stable_genes_transposed_counts.csv:md5,77d118556692fe285590489db96f47d0", "section_4.most_stable_genes_summary.csv:md5,221b0d42881ada7cd7fcca65cdc827a4", "section_4.most_stable_genes_transposed_counts.csv:md5,5d1d9ebe8151765fb37176c86f3c7812", @@ -746,46 +701,137 @@ "section_8.most_stable_genes_transposed_counts.csv:md5,0bfb8031fc91115a61a57113a6df5c4d", "section_9.most_stable_genes_summary.csv:md5,7178bb75b1733f71d0aeba2a09750b3b", 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"stores.py:md5,6e829f7950f09c7c9b10568de41baca2", + "tables.py:md5,0cc5a469719e67a3b6ae0d11cd35cc66", + "tooltips.py:md5,3f6e77c5bc52d3ae8b64420c50f5daa1", + "top.py:md5,fb907f3f053a0973df8c7a4c8151baf3", + "config.py:md5,26c75ba54e5c636b291dc8d2bd685004", + "data_management.py:md5,6a4a5268f808fe198a4a6e4b6d06c5f3", + "style.py:md5,5dc95d725903350537940a41cae355dd", "Beta_vulgaris.RefBeet-1.2.2.62.gff3.gz:md5,6f2c45809441c8776e6578000db2b0e4", "gene_transcript_lengths.csv:md5,458c7dfd3598bdcbcb6ceb76ccba189f", - "global_gene_id_mapping.csv:md5,7eecbd2d88adaf5f213f238a72d28b99", + "global_gene_id_mapping.csv:md5,63f67fb73898870c360293d30362bc33", "global_gene_metadata.csv:md5,cc8d4afdbaf03cd39a4e10f2a9040b7e", "gene_metadata.csv:md5,cc8d4afdbaf03cd39a4e10f2a9040b7e", - "mapped_gene_ids.csv:md5,7eecbd2d88adaf5f213f238a72d28b99", + "mapped_gene_ids.csv:md5,63f67fb73898870c360293d30362bc33", + 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"multiqc_genes_section_1_13.txt:md5,7dd72d333b12fc101f4a5b555e09d49a", + "multiqc_genes_section_1_14.txt:md5,59d0addf52e85cdf7d0163721c29c095", + "multiqc_genes_section_1_15.txt:md5,b10474b0ad8cd3cdf21dbe8dc4fd3676", + "multiqc_genes_section_1_16.txt:md5,6f038b7c99db654f2d749da25f7c213b", + "multiqc_genes_section_1_17.txt:md5,9f9f97f85d6605978b286942ac69ba2c", + "multiqc_genes_section_1_18.txt:md5,ab6c6e6e1a658ba92baa6dd2b68f56bf", + "multiqc_genes_section_1_19.txt:md5,5d4910983359e122e07fdbe2aeda10f7", + "multiqc_genes_section_1_2.txt:md5,c6541fb7c3e5502da20d1c68cb5a44de", + "multiqc_genes_section_1_3.txt:md5,94130719e096ffd035a155aa59b4bdd0", + "multiqc_genes_section_1_4.txt:md5,ba0275140b46c0c2d2690304bfd008d8", + "multiqc_genes_section_1_5.txt:md5,fcdcb0618858bf79586f679f4834f902", + "multiqc_genes_section_1_6.txt:md5,9cf7cebccab8b0073cad3d43d4d2ef92", + "multiqc_genes_section_1_7.txt:md5,d440bc9cce034ba82dd0d9f3387f9094", + "multiqc_genes_section_1_8.txt:md5,dc1f5de798343036301a059b545a378f", + "multiqc_genes_section_1_9.txt:md5,e9402e81e8c32c8a6b4015c4a55962f0", + "multiqc_geo_all_experiments_metadata.txt:md5,c3962a65615c4cb6eb081dc0eab8f119", + "multiqc_geo_rejected_experiments_metadata.txt:md5,42dfe20aaa23470fb5d7ca716c3fb2c4", + "multiqc_geo_selected_experiments_metadata.txt:md5,8a20f44e6fe3a6d8bdbdd8d6441c350a", + "multiqc_geo_warning_reasons.txt:md5,2b53d4be74728c504752515f74c58fd2", + "multiqc_id_mapping_stats.txt:md5,f03d4786d088307ad756b9661fd61ede", + "multiqc_normalised_expr_distrib_section_1.txt:md5,fe7c9f8eff636a38deee18a05e17ed4d", + "multiqc_normalised_expr_distrib_section_1_1.txt:md5,7578a930f8750ecb56e892a54211e28f", + "multiqc_normalised_expr_distrib_section_1_10.txt:md5,696c5b24d54057e4738bbd0b351c5d28", + "multiqc_normalised_expr_distrib_section_1_11.txt:md5,94ef2626cd23a3395ba0f53be43b529e", + "multiqc_normalised_expr_distrib_section_1_12.txt:md5,cf62d3846d7d00b438719e75551bd3fa", + "multiqc_normalised_expr_distrib_section_1_13.txt:md5,825766b14187d801ae2284dffd562ac4", + "multiqc_normalised_expr_distrib_section_1_14.txt:md5,b18a4df24ed61f0315d41d4cddfd6539", + "multiqc_normalised_expr_distrib_section_1_15.txt:md5,4d99b3d87c9a25b18fa5ed2061dfb71c", + "multiqc_normalised_expr_distrib_section_1_16.txt:md5,82305a3ca8a54e44a558d0c83dfca9f3", + "multiqc_normalised_expr_distrib_section_1_17.txt:md5,adf99bc87dd29499a1bfc50c3c26488c", + "multiqc_normalised_expr_distrib_section_1_18.txt:md5,8b64cbab2e0cca85575b18b41f973aa5", + "multiqc_normalised_expr_distrib_section_1_19.txt:md5,4544499f66cd9de554f2d26944028cd5", + "multiqc_normalised_expr_distrib_section_1_2.txt:md5,d74f1b40545293b2dba02a0ff167119d", + "multiqc_normalised_expr_distrib_section_1_3.txt:md5,e5701cd16921b4ce657ac131418e04d1", + "multiqc_normalised_expr_distrib_section_1_4.txt:md5,fd093b2d0d535ff16ba846bde129f690", + "multiqc_normalised_expr_distrib_section_1_5.txt:md5,4dbddb8d44680d3cc45a3053c510ca2d", + "multiqc_normalised_expr_distrib_section_1_6.txt:md5,497c20bb2f2d2c03595c897f30775411", + "multiqc_normalised_expr_distrib_section_1_7.txt:md5,5c3fb8ff5e1b90d0a9904712204fc36d", + "multiqc_normalised_expr_distrib_section_1_8.txt:md5,9e5d9c6fb87d348a893bfed6b24f01ce", + "multiqc_normalised_expr_distrib_section_1_9.txt:md5,6a40889210cec540d4b3a2e903454003", + "multiqc_null_values_filter.txt:md5,32deb66a006e612bb582cc8ce0e253dd", + "multiqc_ratio_nulls.txt:md5,d8ae8a87932da88063c21b9e96d7a0b3", + "multiqc_ratio_zeros.txt:md5,63fd4bb33e1160d0071bd2fda14a3434", + "multiqc_renaming_warning_reasons.txt:md5,317e6da04b74b7e4470616a5e791308f", + "multiqc_skewness.txt:md5,0ca6196205ff0776a826bd0b782af5e2", + "multiqc_total_gene_id_occurrence_quantiles.txt:md5,d1e0b917cd62b17c37700d4ff0f4e3ee", + "multiqc_zero_values_filter.txt:md5,049541b0d77aac9703471aaafedba758", + 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"skewness.csv:md5,795367969e6c0816b198ba90ca7e00bb", - "zero_values_filter_stats.csv:md5,a4a1e6b5e88fc2226c01f237b90214db" + "accessions.txt:md5,a850f625a78be7b4b10ce08a5b638e23", + "geo_all_datasets.metadata.tsv:md5,c5e62d09be250a7bf863ebaf99b4d191", + "geo_rejected_datasets.metadata.tsv:md5,c47d5b5db1bbd681a99195fa160599e1", + "geo_selected_datasets.metadata.tsv:md5,abbe634ff552de149c86beb3fadb3e55", + "GSE55951_GPL18429.microarray.normalised.counts.csv:md5,18fd2d728ad2ec5cb78f994f73375144", + "GSE55951_GPL18429.microarray.normalised.design.csv:md5,f4872dff0edbe441d1600ffe2b67a25d", + "GSE135555_suppl.rnaseq.raw.counts.csv:md5,b34bde25ea5d508a1670ce4264073df1", + "GSE135555_suppl.rnaseq.raw.design.csv:md5,df3abc86dd22710223eb8ecc606c9b52", + "GSE135555_suppl.rnaseq.raw.platform_metadata.csv:md5,68b329da9893e34099c7d8ad5cb9c940", + "GSE135555_suppl.rnaseq.raw.sample_name_mapping.csv:md5,457ec1886bec4a917447f67141a3355d", + "id_mapping_stats.csv:md5,5acc3cfc65b836d60f5929cd3e18329b", + "missing_values_filter_stats.csv:md5,3532d85f8ded121d4a64f779ff07c6a7", + "ratio_nulls.csv:md5,61a1fa51598dd19691274cec72344086", + "ratio_nulls_per_sample.csv:md5,26be7a3455d1c25335aa4f791d3f5fb8", + "ratio_zeros.csv:md5,dbe4685e6c4b2c698f608d220ac0fddd", + "skewness.csv:md5,9095a03fa430d3becf74e51c843e6342", + "zero_values_filter_stats.csv:md5,5506c189469bd93293ef11c9727ddca6", + "geo_warning_reasons.csv:md5,1d7787445686300070a7af880d707015", + "renaming_warning_reasons.tsv:md5,ae651ff0a559e025e014412009eac136" ] ], "meta": { "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-23T18:47:16.939793804" + "timestamp": "2026-03-21T11:49:42.993443585" }, "-profile test_included_and_excluded_accessions": { "content": [ { "AGGREGATE_RESULTS": { - "polars": "1.37.1", - "python": "3.14.2", + "polars": "1.39.2", + "python": "3.14.3", "pyyaml": "6.0.3" }, "CLEAN_GENE_IDS": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "COLLECT_ALL_GENE_IDS": { "python": "3.14.2", @@ -800,39 +846,39 @@ "python": "3.13.7" }, "COMPUTE_M_MEASURE": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "COMPUTE_STABILITY_SCORES": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "COMPUTE_TPM": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "CROSS_JOIN": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "DASH_APP": { - "python": "3.13.8", - "dash": "3.2.0", + "python": "3.14.3", + "dash": "3.3.0", "dash-extensions": "2.0.4", - "dash-mantine-components": "2.3.0", + "dash-mantine-components": "2.4.0", "dash-ag-grid": "32.3.2", - "polars": "1.35.0", + "polars": "1.39.2", "pandas": "2.3.3", - "pyarrow": "22.0.0", - "scipy": "1.16.3" + "pyarrow": "23.0.1", + "scipy": "1.17.1" }, "DESCRIPTIVE_STATISTICS": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "DETECT_RARE_GENES": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "DOWNLOAD_ENSEMBL_ANNOTATION": { "bs4": "4.14.3", @@ -842,8 +888,8 @@ "tqdm": "4.67.3" }, "EXPRESSION_ATLAS": { - "ExpressionAtlas": "1.30.0", - "R": "4.3.3 (2024-02-29)", + "ExpressionAtlas": "1.34.0", + "R": "4.4.3 (2025-02-28)", "httpx": "0.28.1", "nltk": "3.9.2", "pandas": "3.0.1", @@ -851,25 +897,24 @@ "pyyaml": "6.0.3" }, "EXPRESSION_RATIO": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "EXTRACT_GENE_IDS": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "FILTER_AND_RENAME_GENES": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "GET_CANDIDATE_GENES": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "GLOBAL": { - "polars": "1.38.1", - "python": "3.14.3", - "tqdm": "4.67.3" + "polars": "1.39.2", + "python": "3.14.3" }, "GPROFILER_IDMAPPING": { "httpx": "0.28.1", @@ -877,39 +922,41 @@ "python": "3.14.3" }, "IMPUTE_MISSING_VALUES": { - "polars": "1.36.1", - "python": "3.14.2", + "polars": "1.39.2", + "python": "3.14.3", "scikit-learn": "1.8.0" }, "MAKE_CHUNKS": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "NORMFINDER": { - "polars": "1.33.1", - "python": "3.13.7" - }, - "PLATFORM": { - "polars": "1.38.1", + "numba": "0.64.0", + "numpy": "2.4.3", + "polars": "1.39.2", "python": "3.14.3", "tqdm": "4.67.3" }, + "PLATFORM": { + "polars": "1.39.2", + "python": "3.14.3" + }, "QUANTILE_NORMALISATION": { - "polars": "1.36.1", - "python": "3.14.2", + "polars": "1.39.2", + "python": "3.14.3", "scikit-learn": "1.8.0" }, "RATIO_STANDARD_VARIATION": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "TOO_MANY_MISSING_VALUES": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "TOO_MANY_ZEROS": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "Workflow": { "nf-core/stableexpression": "v1.0.0" @@ -1007,7 +1054,6 @@ "idmapping/renamed/E_MTAB_5215_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet", "idmapping/renamed/E_MTAB_552_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet", "idmapping/renamed/E_MTAB_7711_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet", - "idmapping/renamed/failure_reason.txt", "merged_datasets", "merged_datasets/whole_design.csv", "multiqc", @@ -1132,7 +1178,6 @@ "public_data/expression_atlas/datasets/E_MTAB_552_rnaseq.rnaseq.raw.counts.csv", "public_data/expression_atlas/datasets/E_MTAB_7711_rnaseq.design.csv", "public_data/expression_atlas/datasets/E_MTAB_7711_rnaseq.rnaseq.raw.counts.csv", - "public_data/expression_atlas/datasets/failure_reason.txt", "statistics", "statistics/id_mapping_stats.csv", "statistics/missing_values_filter_stats.csv", @@ -1186,10 +1231,27 @@ "section_8.most_stable_genes_transposed_counts.csv:md5,104530b6c89c013b7ad42b5ac8784ee3", "section_9.most_stable_genes_summary.csv:md5,389e652ee34671bcb083ce63846b2114", "section_9.most_stable_genes_transposed_counts.csv:md5,f7c5d81dc152dc573ab1d5a2cc0e02f0", + "app.py:md5,bb43a37542f3525925e68e41f26b3eb3", "style.css:md5,e6ba182eaf06980dbda49920efbf6e64", + "all_counts.imputed.parquet:md5,df99baea9c37a28b553940a4b438a455", "all_genes_summary.csv:md5,2b30f2f39feb4d4ee9ad84dbc1bf2399", "whole_design.csv:md5,cc24405dce8d22b93b9999a2287113ef", - "environment.yml:md5,f9b192ef98a67f2084ad2fed6da01bc1", + "environment.yml:md5,dd081780e1f98d34b13289d019f8bb5b", + "common.py:md5,2579b1cf40bc1f19bf4d6cf9e7ee3261", + "genes.py:md5,680cb5f4e107a3b091821917d72a555c", + "samples.py:md5,ebe1620fd6a7280933c6e82f05b04820", + "graphs.py:md5,acdc8511cfcd2ea77ba7a90c3250fd17", + "icons.py:md5,3e66bae5ceca3dfbd190d88db0dc0828", + "right_sidebar.py:md5,7d062dd7b7b891ea04275a03eca49f8e", + "genes.py:md5,bf00a35192a594861a809a0fdfd73fc3", + "samples.py:md5,1d145b9c85f61ab340857e87a728bc54", + "stores.py:md5,6e829f7950f09c7c9b10568de41baca2", + "tables.py:md5,0cc5a469719e67a3b6ae0d11cd35cc66", + "tooltips.py:md5,3f6e77c5bc52d3ae8b64420c50f5daa1", + "top.py:md5,fb907f3f053a0973df8c7a4c8151baf3", + "config.py:md5,26c75ba54e5c636b291dc8d2bd685004", + "data_management.py:md5,6a4a5268f808fe198a4a6e4b6d06c5f3", + "style.py:md5,5dc95d725903350537940a41cae355dd", "eatlas_failure_reasons.csv:md5,2a8cd0ed795e82647d19c484a79acde6", "renaming_failure_reasons.tsv:md5,af783264770a861c263480141fdd8bf6", "Solanum_tuberosum.SolTub_3.0.62.gff3.gz:md5,cca99141f43d57d697f6df75de790e05", @@ -1198,9 +1260,81 @@ "global_gene_metadata.csv:md5,e33e0ed63a3dec26bc95fe422f02844c", "gene_metadata.csv:md5,e33e0ed63a3dec26bc95fe422f02844c", "mapped_gene_ids.csv:md5,a86823539deb80c0aa44378d3078969d", - 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"multiqc/multiqc_data/multiqc_citations.txt", + "multiqc/multiqc_data/multiqc_data.json", + "multiqc/multiqc_data/multiqc_software_versions.txt", + "multiqc/multiqc_data/multiqc_sources.txt", + "multiqc/multiqc_report.html", + "pipeline_info", + "pipeline_info/nf_core_stableexpression_software_mqc_versions.yml", + "statistics", + "statistics/id_mapping_stats.csv", + "warnings" + ], + [ + "renaming_failure_reasons.tsv:md5,d5cae52d86b44b02d7bd00c456576b5d", + "gene_ids.txt:md5,831b47f91a0808802967aa0e53a25de9", + "global_gene_id_mapping.csv:md5,187a86074197044846bb8565e122eb8e", + "global_gene_metadata.csv:md5,5ae2d701ca0cb6384d9e1e08a345e452", + "multiqc_citations.txt:md5,4c806e63a283ec1b7e78cdae3a923d4f", + "id_mapping_stats.csv:md5,20bd1443c864cb013c97efc760465e9c" + ] + ], + "meta": { + "nf-test": "0.9.3", + "nextflow": "25.10.4" + }, + "timestamp": "2026-03-21T12:53:02.926804675" }, "-profile test": { "content": [ @@ -1370,7 +1562,6 @@ "gene_length", 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"httpx": "0.28.1", @@ -1768,39 +1961,41 @@ "python": "3.14.3" }, "IMPUTE_MISSING_VALUES": { - "polars": "1.36.1", - "python": "3.14.2", + "polars": "1.39.2", + "python": "3.14.3", "scikit-learn": "1.8.0" }, "MAKE_CHUNKS": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "NORMFINDER": { - "polars": "1.33.1", - "python": "3.13.7" - }, - "PLATFORM": { - "polars": "1.38.1", + "numba": "0.64.0", + "numpy": "2.4.3", + "polars": "1.39.2", "python": "3.14.3", "tqdm": "4.67.3" }, + "PLATFORM": { + "polars": "1.39.2", + "python": "3.14.3" + }, "QUANTILE_NORMALISATION": { - "polars": "1.36.1", - "python": "3.14.2", + "polars": "1.39.2", + "python": "3.14.3", "scikit-learn": "1.8.0" }, "RATIO_STANDARD_VARIATION": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "TOO_MANY_MISSING_VALUES": { - "polars": "1.17.1", - "python": "3.12.8" + "polars": "1.39.2", + "python": "3.14.3" }, "TOO_MANY_ZEROS": { - "polars": 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"mapped_gene_ids.csv:md5,42491ef436cce231258c0358e1af5745", + "E_GEOD_51720_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet:md5,4e5f3b3fc2c206769cfb50feaba70046", "whole_design.csv:md5,d3aa542c4ad07d0051a84482fe6cd81c", + "multiqc_citations.txt:md5,4c806e63a283ec1b7e78cdae3a923d4f", + "multiqc_gene_statistics.txt:md5,53fe105326f1a097d3437731eb4e3a8d", + "multiqc_genes_section_1.txt:md5,cb79085a6608e6dfd5a96291dcea850b", + "multiqc_genes_section_1_1.txt:md5,7308dd2805d9b530457a1eb839e1b455", + "multiqc_genes_section_1_10.txt:md5,91e61a6a01bdf35096fb02f79476dd58", + "multiqc_genes_section_1_11.txt:md5,f0b8df84a99b2d5ef557ee8896217095", + "multiqc_genes_section_1_12.txt:md5,89e8c3dcd3d970735de56ed6dd618caf", + "multiqc_genes_section_1_13.txt:md5,b7b1b4265c236ba1c8ed7358e34a6dd6", + "multiqc_genes_section_1_14.txt:md5,831514e662296f82a3f0370ae64b1503", + "multiqc_genes_section_1_15.txt:md5,92aa9a142514894d965ce5f41bee781d", + 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"multiqc_normalised_expr_distrib_section_1.txt:md5,9e50c1075664481653bb278323672633", + "multiqc_normalised_expr_distrib_section_1_1.txt:md5,a1fa5d657a142abbf49fb95bf266d906", + "multiqc_normalised_expr_distrib_section_1_10.txt:md5,f89a15a3af0047f9bd0f5d01ca9ccb33", + "multiqc_normalised_expr_distrib_section_1_11.txt:md5,fead0770f22c316593d6d2353d94e9f7", + "multiqc_normalised_expr_distrib_section_1_12.txt:md5,8cacaee9d1bedf3ec8a4d66f3bab1f7f", + "multiqc_normalised_expr_distrib_section_1_13.txt:md5,2567a9943c1c49e575b4c2fe6a3a3185", + "multiqc_normalised_expr_distrib_section_1_14.txt:md5,02d40fd44721ec46f59736221500078a", + "multiqc_normalised_expr_distrib_section_1_15.txt:md5,0c89badaf4e435df8526ae8e9f4802ab", + "multiqc_normalised_expr_distrib_section_1_16.txt:md5,3fe2b8ffacda4c1f8ca761eb7a1e1086", + "multiqc_normalised_expr_distrib_section_1_17.txt:md5,c86c0cf8c3e4eab7a61979f622f126d7", + "multiqc_normalised_expr_distrib_section_1_18.txt:md5,17554bf8a45621ecdedefe2a9b79835e", + "multiqc_normalised_expr_distrib_section_1_19.txt:md5,28b90411fa811ba678f237e9ee6f20a2", + "multiqc_normalised_expr_distrib_section_1_2.txt:md5,b3876970c55302cb37f1bd8f8ca620ee", + "multiqc_normalised_expr_distrib_section_1_3.txt:md5,2ead25fe7da0f48beca784882fabb1a6", + "multiqc_normalised_expr_distrib_section_1_4.txt:md5,68245ac492b42288c310612a5e88cbe4", + "multiqc_normalised_expr_distrib_section_1_5.txt:md5,ac5f414686facdfc71016982d3824875", + "multiqc_normalised_expr_distrib_section_1_6.txt:md5,88d20ad256f42e564daf79ca8c13a1a2", + "multiqc_normalised_expr_distrib_section_1_7.txt:md5,4cb4700660dd2613194c7b62324d019b", + "multiqc_normalised_expr_distrib_section_1_8.txt:md5,43eb422269b358c59e2d31f9602b24b3", + "multiqc_normalised_expr_distrib_section_1_9.txt:md5,d444233cf608c17cfdc7cc8ebf2c2fe9", + "multiqc_null_values_filter.txt:md5,91eb32460cdebb4e08ae0b1ee559cf59", + "multiqc_ratio_nulls.txt:md5,bcf9aa423c404f2e7f8ea84735810959", + "multiqc_ratio_zeros.txt:md5,c743a773da2858b59923eff1873c26d0", + "multiqc_skewness.txt:md5,8842798a4596894a554be2b18469a89a", + "multiqc_total_gene_id_occurrence_quantiles.txt:md5,9eb24790b7fbfee4b7c3bcff74a334db", + "multiqc_zero_values_filter.txt:md5,a9ec449705f94f15962e6ca856b87420", + "E_GEOD_51720_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet:md5,0ead509ded110fe58b922c6a944fd64c", + "E_GEOD_51720_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.parquet:md5,8fc3d605078189ee180878b216655a5e", "E_GEOD_51720_rnaseq.design.csv:md5,80805afb29837b6fbb73a6aa6f3a461b", "E_GEOD_51720_rnaseq.rnaseq.raw.counts.csv:md5,07cd448196fc2fea4663bd9705da2b98", "id_mapping_stats.csv:md5,cd17a5d4afa6b86a48adb03868d3073f", @@ -2046,7 +2310,7 @@ "ratio_nulls.csv:md5,9c496b3b8c098a1bc17c6be7a87f2331", "ratio_nulls_per_sample.csv:md5,9211cb6081071e8825119194faf6241f", "ratio_zeros.csv:md5,17b7bde6ca29e11bb1e28db6b8053add", - "skewness.csv:md5,898d7ed1a12cdc96e558a37094cf1d65", + "skewness.csv:md5,68470c0c5c2e54af93e2cd8c8517d779", "zero_values_filter_stats.csv:md5,766d888e41179e8a785f634b3b606bc9" ] ], @@ -2054,148 +2318,10 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-23T18:39:44.471631158" + "timestamp": "2026-03-21T12:50:51.861295012" }, - "-profile test_bigger_with_genorm": { + "-profile test_public_and_dataset": { "content": [ - { - "AGGREGATE_RESULTS": { - "polars": "1.37.1", - "python": "3.14.2", - "pyyaml": "6.0.3" - }, - "CLEAN_GENE_IDS": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "COLLECT_ALL_GENE_IDS": { - "python": "3.14.2", - "tqdm": "4.67.1" - }, - "COLLECT_STATISTICS": { - "pandas": "2.3.3", - "python": "3.13.7" - }, - "COMPUTE_GENE_TRANSCRIPT_LENGTHS": { - "pandas": "2.3.3", - "python": "3.13.7" - }, - "COMPUTE_M_MEASURE": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "COMPUTE_STABILITY_SCORES": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "COMPUTE_TPM": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "CROSS_JOIN": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "DASH_APP": { - "python": "3.13.8", - "dash": "3.2.0", - "dash-extensions": "2.0.4", - "dash-mantine-components": "2.3.0", - "dash-ag-grid": "32.3.2", - "polars": "1.35.0", - "pandas": "2.3.3", - "pyarrow": "22.0.0", - "scipy": "1.16.3" - }, - "DESCRIPTIVE_STATISTICS": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "DETECT_RARE_GENES": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "DOWNLOAD_ENSEMBL_ANNOTATION": { - "bs4": "4.14.3", - "httpx": "0.28.1", - "pandas": "3.0.1", - "python": "3.14.3", - "tqdm": "4.67.3" - }, - "EXPRESSION_ATLAS": { - "ExpressionAtlas": "1.30.0", - "R": "4.3.3 (2024-02-29)", - "httpx": "0.28.1", - "nltk": "3.9.2", - "pandas": "3.0.1", - "python": "3.14.3", - "pyyaml": "6.0.3" - }, - "EXPRESSION_RATIO": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "EXTRACT_GENE_IDS": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "FILTER_AND_RENAME_GENES": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "GET_CANDIDATE_GENES": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "GLOBAL": { - "polars": "1.38.1", - "python": "3.14.3", - "tqdm": "4.67.3" - }, - "GPROFILER_IDMAPPING": { - "httpx": "0.28.1", - "pandas": "3.0.1", - "python": "3.14.3" - }, - "IMPUTE_MISSING_VALUES": { - "polars": "1.36.1", - "python": "3.14.2", - "scikit-learn": "1.8.0" - }, - "MAKE_CHUNKS": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "NORMFINDER": { - "polars": "1.33.1", - "python": "3.13.7" - }, - "PLATFORM": { - "polars": "1.38.1", - "python": "3.14.3", - "tqdm": "4.67.3" - }, - "QUANTILE_NORMALISATION": { - "polars": "1.36.1", - "python": "3.14.2", - "scikit-learn": "1.8.0" - }, - "RATIO_STANDARD_VARIATION": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "TOO_MANY_MISSING_VALUES": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "TOO_MANY_ZEROS": { - "polars": "1.17.1", - "python": "3.12.8" - }, - "Workflow": { - "nf-core/stableexpression": "v1.0.0" - } - }, [ "aggregated", "aggregated/all_genes_summary.csv", @@ -2271,7 +2397,7 @@ "dash_app/src/utils/style.py", "errors", "gene_length", - "gene_length/Arabidopsis_lyrata.v.1.0.62.gff3.gz", + "gene_length/Beta_vulgaris.RefBeet-1.2.2.62.gff3.gz", "gene_length/gene_transcript_lengths.csv", "idmapping", "idmapping/global_gene_id_mapping.csv", @@ -2280,7 +2406,8 @@ "idmapping/gprofiler/gene_metadata.csv", "idmapping/gprofiler/mapped_gene_ids.csv", "idmapping/renamed", - "idmapping/renamed/E_MTAB_5072_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet", + "idmapping/renamed/E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet", + "idmapping/renamed/beta_vulgaris.rnaseq.raw.counts.cleaned.renamed.parquet", "merged_datasets", "merged_datasets/whole_design.csv", "multiqc", @@ -2355,11 +2482,11 @@ "multiqc/multiqc_report.html", "normalised", "normalised/quantile_normalised", - "normalised/quantile_normalised/E_MTAB_5072_rnaseq", - "normalised/quantile_normalised/E_MTAB_5072_rnaseq/E_MTAB_5072_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet", + "normalised/quantile_normalised/E_MTAB_8187_rnaseq", + "normalised/quantile_normalised/E_MTAB_8187_rnaseq/E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet", "normalised/tpm", - "normalised/tpm/E_MTAB_5072_rnaseq", - "normalised/tpm/E_MTAB_5072_rnaseq/E_MTAB_5072_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.parquet", + "normalised/tpm/E_MTAB_8187_rnaseq", + "normalised/tpm/E_MTAB_8187_rnaseq/E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.parquet", "pipeline_info", "pipeline_info/nf_core_stableexpression_software_mqc_versions.yml", "public_data", @@ -2369,8 +2496,8 @@ "public_data/expression_atlas/accessions/selected_experiments.metadata.tsv", "public_data/expression_atlas/accessions/species_experiments.metadata.tsv", "public_data/expression_atlas/datasets", - "public_data/expression_atlas/datasets/E_MTAB_5072_rnaseq.design.csv", - "public_data/expression_atlas/datasets/E_MTAB_5072_rnaseq.rnaseq.raw.counts.csv", + "public_data/expression_atlas/datasets/E_MTAB_8187_rnaseq.design.csv", + "public_data/expression_atlas/datasets/E_MTAB_8187_rnaseq.rnaseq.raw.counts.csv", "statistics", "statistics/id_mapping_stats.csv", "statistics/missing_values_filter_stats.csv", @@ -2382,83 +2509,157 @@ "warnings" ], [ - "all_genes_summary.csv:md5,36a13692241c4dcacbe7a485b937897e", + "all_genes_summary.csv:md5,e3f8d59accf267c351d0a995ffc9ebf5", "custom_content_multiqc_config.yaml:md5,e048085491cb74658cf363545b1278fe", - "section_1.most_stable_genes_summary.csv:md5,18adf56db8df695f41aa14c80af0f2ab", - "section_1.most_stable_genes_transposed_counts.csv:md5,c0f29b738dbaa3db4ca82d6a693b8dff", - 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"species_experiments.metadata.tsv:md5,cf220f0d0aab141abf220c856430f2f2", + "E_MTAB_8187_rnaseq.design.csv:md5,fbd18d011d7d855452e5a30a303afcbf", + "E_MTAB_8187_rnaseq.rnaseq.raw.counts.csv:md5,fe221fd94f66df7120b0590091e14eb1", + "id_mapping_stats.csv:md5,dc2d9d7f34e570411c8cf5885b447719", + "missing_values_filter_stats.csv:md5,7db5e238928f520d761bd4792334304b", + "ratio_nulls.csv:md5,62625b0e4f7f36a59dfe077a4c709a94", + "ratio_nulls_per_sample.csv:md5,be115e6d6c5ed7b7206891ebaa0f7a67", + "ratio_zeros.csv:md5,96bbe4bd2d4c29ab5701588132af9684", + "skewness.csv:md5,9095a03fa430d3becf74e51c843e6342", + "zero_values_filter_stats.csv:md5,17fc6d525450d34445bf9cc25defe18a" ] ], "meta": { "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-23T19:14:52.910531839" + "timestamp": "2026-03-21T12:30:48.493791227" }, "-profile test_download_only": { "content": [ { "EXPRESSION_ATLAS": { - "ExpressionAtlas": "1.30.0", - "R": "4.3.3 (2024-02-29)", + "ExpressionAtlas": "1.34.0", + "R": "4.4.3 (2025-02-28)", "httpx": "0.28.1", "nltk": "3.9.2", "pandas": "3.0.1", @@ -2496,7 +2697,10 @@ "warnings" ], [ + "multiqc_citations.txt:md5,4c806e63a283ec1b7e78cdae3a923d4f", "accessions.txt:md5,76e5e3af7c72eac7a1993a2bd75b4d1a", + "selected_experiments.metadata.tsv:md5,cf220f0d0aab141abf220c856430f2f2", + "species_experiments.metadata.tsv:md5,cf220f0d0aab141abf220c856430f2f2", "E_MTAB_8187_rnaseq.design.csv:md5,fbd18d011d7d855452e5a30a303afcbf", "E_MTAB_8187_rnaseq.rnaseq.raw.counts.csv:md5,fe221fd94f66df7120b0590091e14eb1" ] @@ -2505,7 +2709,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-23T18:31:54.266065347" + "timestamp": "2026-03-20T08:14:08.452492061" }, "-profile test_gprofiler_target_database_entrez": { "content": [ @@ -2737,18 +2941,91 @@ "section_8.most_stable_genes_transposed_counts.csv:md5,0bfb8031fc91115a61a57113a6df5c4d", "section_9.most_stable_genes_summary.csv:md5,7178bb75b1733f71d0aeba2a09750b3b", "section_9.most_stable_genes_transposed_counts.csv:md5,b02e0d31ed2c0fa925060893062c07a7", + "app.py:md5,bb43a37542f3525925e68e41f26b3eb3", "style.css:md5,e6ba182eaf06980dbda49920efbf6e64", + "all_counts.imputed.parquet:md5,1f732d695fb191f4c87b065aec34138e", "all_genes_summary.csv:md5,e3f8d59accf267c351d0a995ffc9ebf5", "whole_design.csv:md5,fbd18d011d7d855452e5a30a303afcbf", - "environment.yml:md5,f9b192ef98a67f2084ad2fed6da01bc1", + "environment.yml:md5,dd081780e1f98d34b13289d019f8bb5b", + "common.py:md5,2579b1cf40bc1f19bf4d6cf9e7ee3261", + "genes.py:md5,680cb5f4e107a3b091821917d72a555c", + "samples.py:md5,ebe1620fd6a7280933c6e82f05b04820", + "graphs.py:md5,acdc8511cfcd2ea77ba7a90c3250fd17", + "icons.py:md5,3e66bae5ceca3dfbd190d88db0dc0828", + "right_sidebar.py:md5,7d062dd7b7b891ea04275a03eca49f8e", + "genes.py:md5,bf00a35192a594861a809a0fdfd73fc3", + "samples.py:md5,1d145b9c85f61ab340857e87a728bc54", + "stores.py:md5,6e829f7950f09c7c9b10568de41baca2", + "tables.py:md5,0cc5a469719e67a3b6ae0d11cd35cc66", + "tooltips.py:md5,3f6e77c5bc52d3ae8b64420c50f5daa1", + "top.py:md5,fb907f3f053a0973df8c7a4c8151baf3", + "config.py:md5,26c75ba54e5c636b291dc8d2bd685004", + "data_management.py:md5,6a4a5268f808fe198a4a6e4b6d06c5f3", + "style.py:md5,5dc95d725903350537940a41cae355dd", "Beta_vulgaris.RefBeet-1.2.2.62.gff3.gz:md5,6f2c45809441c8776e6578000db2b0e4", "gene_transcript_lengths.csv:md5,458c7dfd3598bdcbcb6ceb76ccba189f", "global_gene_id_mapping.csv:md5,7eecbd2d88adaf5f213f238a72d28b99", "global_gene_metadata.csv:md5,cc8d4afdbaf03cd39a4e10f2a9040b7e", "gene_metadata.csv:md5,cc8d4afdbaf03cd39a4e10f2a9040b7e", "mapped_gene_ids.csv:md5,7eecbd2d88adaf5f213f238a72d28b99", + "E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet:md5,bc9ebd34015289f205fca0afff7300c2", "whole_design.csv:md5,fbd18d011d7d855452e5a30a303afcbf", + "multiqc_citations.txt:md5,4c806e63a283ec1b7e78cdae3a923d4f", + "multiqc_eatlas_all_experiments_metadata.txt:md5,8b7643e0ef8eaaa3fa72f7103fd7ccee", + "multiqc_eatlas_selected_experiments_metadata.txt:md5,8b7643e0ef8eaaa3fa72f7103fd7ccee", + "multiqc_gene_statistics.txt:md5,d7750cb95663a63219dcec94e03d7af1", + "multiqc_genes_section_1.txt:md5,f310a16068d5e76713497e2d3824cf2d", + "multiqc_genes_section_1_1.txt:md5,d68c3cce20e06aaf226e88e0e52184b3", + "multiqc_genes_section_1_10.txt:md5,304bd44c0867a1419e7b48e5bb6dff05", + "multiqc_genes_section_1_11.txt:md5,807ad09f10e257546f18e5fb052511e9", + "multiqc_genes_section_1_12.txt:md5,e3d5acc5a292639bc3a1b1b5e7f5a04b", + "multiqc_genes_section_1_13.txt:md5,7dd72d333b12fc101f4a5b555e09d49a", + "multiqc_genes_section_1_14.txt:md5,59d0addf52e85cdf7d0163721c29c095", + "multiqc_genes_section_1_15.txt:md5,b10474b0ad8cd3cdf21dbe8dc4fd3676", + "multiqc_genes_section_1_16.txt:md5,6f038b7c99db654f2d749da25f7c213b", + "multiqc_genes_section_1_17.txt:md5,9f9f97f85d6605978b286942ac69ba2c", + "multiqc_genes_section_1_18.txt:md5,ab6c6e6e1a658ba92baa6dd2b68f56bf", + "multiqc_genes_section_1_19.txt:md5,5d4910983359e122e07fdbe2aeda10f7", + "multiqc_genes_section_1_2.txt:md5,89b5e91c54815bd340411210fb7b86a7", + "multiqc_genes_section_1_3.txt:md5,94130719e096ffd035a155aa59b4bdd0", + "multiqc_genes_section_1_4.txt:md5,ba0275140b46c0c2d2690304bfd008d8", + "multiqc_genes_section_1_5.txt:md5,fcdcb0618858bf79586f679f4834f902", + "multiqc_genes_section_1_6.txt:md5,9cf7cebccab8b0073cad3d43d4d2ef92", + "multiqc_genes_section_1_7.txt:md5,d440bc9cce034ba82dd0d9f3387f9094", + "multiqc_genes_section_1_8.txt:md5,dc1f5de798343036301a059b545a378f", + "multiqc_genes_section_1_9.txt:md5,e9402e81e8c32c8a6b4015c4a55962f0", + "multiqc_id_mapping_stats.txt:md5,52e27cd2411482e92177128367f5bcf2", + "multiqc_normalised_expr_distrib_section_1.txt:md5,fe7c9f8eff636a38deee18a05e17ed4d", + "multiqc_normalised_expr_distrib_section_1_1.txt:md5,7578a930f8750ecb56e892a54211e28f", + "multiqc_normalised_expr_distrib_section_1_10.txt:md5,696c5b24d54057e4738bbd0b351c5d28", + "multiqc_normalised_expr_distrib_section_1_11.txt:md5,94ef2626cd23a3395ba0f53be43b529e", + "multiqc_normalised_expr_distrib_section_1_12.txt:md5,cf62d3846d7d00b438719e75551bd3fa", + "multiqc_normalised_expr_distrib_section_1_13.txt:md5,825766b14187d801ae2284dffd562ac4", + "multiqc_normalised_expr_distrib_section_1_14.txt:md5,b18a4df24ed61f0315d41d4cddfd6539", + "multiqc_normalised_expr_distrib_section_1_15.txt:md5,4d99b3d87c9a25b18fa5ed2061dfb71c", + "multiqc_normalised_expr_distrib_section_1_16.txt:md5,82305a3ca8a54e44a558d0c83dfca9f3", + "multiqc_normalised_expr_distrib_section_1_17.txt:md5,adf99bc87dd29499a1bfc50c3c26488c", + "multiqc_normalised_expr_distrib_section_1_18.txt:md5,8b64cbab2e0cca85575b18b41f973aa5", + "multiqc_normalised_expr_distrib_section_1_19.txt:md5,4544499f66cd9de554f2d26944028cd5", + "multiqc_normalised_expr_distrib_section_1_2.txt:md5,d74f1b40545293b2dba02a0ff167119d", + "multiqc_normalised_expr_distrib_section_1_3.txt:md5,e5701cd16921b4ce657ac131418e04d1", + "multiqc_normalised_expr_distrib_section_1_4.txt:md5,fd093b2d0d535ff16ba846bde129f690", + "multiqc_normalised_expr_distrib_section_1_5.txt:md5,4dbddb8d44680d3cc45a3053c510ca2d", + "multiqc_normalised_expr_distrib_section_1_6.txt:md5,497c20bb2f2d2c03595c897f30775411", + "multiqc_normalised_expr_distrib_section_1_7.txt:md5,5c3fb8ff5e1b90d0a9904712204fc36d", + "multiqc_normalised_expr_distrib_section_1_8.txt:md5,9e5d9c6fb87d348a893bfed6b24f01ce", + "multiqc_normalised_expr_distrib_section_1_9.txt:md5,6a40889210cec540d4b3a2e903454003", + "multiqc_null_values_filter.txt:md5,36e80c213d14d0e3942d84e8ad14b9cc", + "multiqc_ratio_nulls.txt:md5,ba7ee3e2a9f20f19bae430c56ca11e9a", + "multiqc_ratio_zeros.txt:md5,238d38905ef9fdc5e6a252255dea7f82", + "multiqc_skewness.txt:md5,0ca6196205ff0776a826bd0b782af5e2", + "multiqc_total_gene_id_occurrence_quantiles.txt:md5,389252b8ba48d86c6100d0abcd762ac1", + "multiqc_zero_values_filter.txt:md5,36e80c213d14d0e3942d84e8ad14b9cc", + "E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet:md5,1f732d695fb191f4c87b065aec34138e", + "E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.parquet:md5,56e8645b7ad1a61f15ea3f68705bb47b", "accessions.txt:md5,76e5e3af7c72eac7a1993a2bd75b4d1a", + "selected_experiments.metadata.tsv:md5,cf220f0d0aab141abf220c856430f2f2", + "species_experiments.metadata.tsv:md5,cf220f0d0aab141abf220c856430f2f2", "E_MTAB_8187_rnaseq.design.csv:md5,fbd18d011d7d855452e5a30a303afcbf", "E_MTAB_8187_rnaseq.rnaseq.raw.counts.csv:md5,fe221fd94f66df7120b0590091e14eb1", "id_mapping_stats.csv:md5,17ccaa8e70c67c7d0de4ec3c630c2e5b", @@ -2756,7 +3033,7 @@ "ratio_nulls.csv:md5,3649422febfc0208bb0f1892d071a0a1", "ratio_nulls_per_sample.csv:md5,88f76a381ba0635b334ea65f1dc9311f", "ratio_zeros.csv:md5,e31a1f46c19c75381bd237f520658bf3", - "skewness.csv:md5,795367969e6c0816b198ba90ca7e00bb", + "skewness.csv:md5,9095a03fa430d3becf74e51c843e6342", "zero_values_filter_stats.csv:md5,a4a1e6b5e88fc2226c01f237b90214db" ] ], @@ -2764,6 +3041,6 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-23T19:07:16.74802239" + "timestamp": "2026-03-21T13:14:00.255319576" } -} +} \ No newline at end of file diff --git a/tests/modules/local/compute_dataset_statistics/main.nf.test.snap b/tests/modules/local/compute_dataset_statistics/main.nf.test.snap index 85f156ab..234297e4 100644 --- a/tests/modules/local/compute_dataset_statistics/main.nf.test.snap +++ b/tests/modules/local/compute_dataset_statistics/main.nf.test.snap @@ -5,21 +5,21 @@ "0": [ [ "test", - "skewness.txt:md5,3f2c6b786ec7344d8d21444cfd3714c5" + "skewness.txt:md5,d9684048b8a38ccf6d0a25c5c086df8b" ] ], "1": [ [ "COMPUTE_DATASET_STATISTICS", "python", - "3.12.8" + "3.14.3" ] ], "2": [ [ "COMPUTE_DATASET_STATISTICS", "polars", - "1.17.1" + "1.39.2" ] ] } @@ -28,6 +28,6 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-21T09:28:11.849318168" + "timestamp": "2026-03-19T12:14:59.442834613" } } \ No newline at end of file diff --git a/tests/modules/local/expressionatlas/getdata/main.nf.test.snap b/tests/modules/local/expressionatlas/getdata/main.nf.test.snap index f624143d..aa51b29a 100644 --- a/tests/modules/local/expressionatlas/getdata/main.nf.test.snap +++ b/tests/modules/local/expressionatlas/getdata/main.nf.test.snap @@ -18,14 +18,14 @@ [ "EXPRESSIONATLAS_GETDATA", "R", - "4.3.3 (2024-02-29)" + "4.4.3 (2025-02-28)" ] ], "5": [ [ "EXPRESSIONATLAS_GETDATA", "ExpressionAtlas", - "1.30.0" + "1.34.0" ] ], "counts": [ @@ -37,10 +37,10 @@ } ], "meta": { - "nf-test": "0.9.2", - "nextflow": "25.04.8" + "nf-test": "0.9.3", + "nextflow": "25.10.4" }, - "timestamp": "2025-11-17T11:22:31.479739243" + "timestamp": "2026-03-19T12:17:31.898448037" }, "Arabidopsis Geo dataset": { "content": [ @@ -61,14 +61,14 @@ [ "EXPRESSIONATLAS_GETDATA", "R", - "4.3.3 (2024-02-29)" + "4.4.3 (2025-02-28)" ] ], "5": [ [ "EXPRESSIONATLAS_GETDATA", "ExpressionAtlas", - "1.30.0" + "1.34.0" ] ], "counts": [ @@ -80,10 +80,10 @@ } ], "meta": { - "nf-test": "0.9.2", - "nextflow": "25.04.8" + "nf-test": "0.9.3", + "nextflow": "25.10.4" }, - "timestamp": "2025-11-17T11:22:51.038290522" + "timestamp": "2026-03-19T12:17:59.709656156" }, "Transcription profiling by array of Arabidopsis mutant for fis2 (microarray)": { "content": [ @@ -104,14 +104,14 @@ [ "EXPRESSIONATLAS_GETDATA", "R", - "4.3.3 (2024-02-29)" + "4.4.3 (2025-02-28)" ] ], "5": [ [ "EXPRESSIONATLAS_GETDATA", "ExpressionAtlas", - "1.30.0" + "1.34.0" ] ], "counts": [ @@ -123,9 +123,9 @@ } ], "meta": { - "nf-test": "0.9.2", - "nextflow": "25.04.8" + "nf-test": "0.9.3", + "nextflow": "25.10.4" }, - "timestamp": "2025-11-17T11:22:41.604691764" + "timestamp": "2026-03-19T12:17:45.546042421" } } \ No newline at end of file diff --git a/tests/modules/local/filter_and_rename_genes/main.nf.test.snap b/tests/modules/local/filter_and_rename_genes/main.nf.test.snap index a8c9a69b..ae1b19d7 100644 --- a/tests/modules/local/filter_and_rename_genes/main.nf.test.snap +++ b/tests/modules/local/filter_and_rename_genes/main.nf.test.snap @@ -27,14 +27,14 @@ [ "FILTER_AND_RENAME_GENES", "python", - "3.12.8" + "3.14.3" ] ], "5": [ [ "FILTER_AND_RENAME_GENES", "polars", - "1.17.1" + "1.39.2" ] ], "counts": [ @@ -46,7 +46,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-21T09:28:39.199420229" + "timestamp": "2026-03-21T13:38:35.708094158" }, "Map Ensembl IDs": { "content": [ @@ -56,7 +56,7 @@ { "dataset": "test" }, - "counts.ensembl_ids.renamed.parquet:md5,dcdec4c4a0bdcc5802a6d4c3c24d0af6" + "counts.ensembl_ids.renamed.parquet:md5,1fe83a8ee993d02c9df18f7412d20f0f" ] ], "1": [ @@ -78,14 +78,14 @@ [ "FILTER_AND_RENAME_GENES", "python", - "3.12.8" + "3.14.3" ] ], "5": [ [ "FILTER_AND_RENAME_GENES", "polars", - "1.17.1" + "1.39.2" ] ], "counts": [ @@ -93,7 +93,7 @@ { "dataset": "test" }, - "counts.ensembl_ids.renamed.parquet:md5,dcdec4c4a0bdcc5802a6d4c3c24d0af6" + "counts.ensembl_ids.renamed.parquet:md5,1fe83a8ee993d02c9df18f7412d20f0f" ] ] } @@ -102,7 +102,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-21T09:28:21.213775764" + "timestamp": "2026-03-21T13:38:15.772145586" }, "No valid gene": { "content": [ @@ -132,14 +132,14 @@ [ "FILTER_AND_RENAME_GENES", "python", - "3.12.8" + "3.14.3" ] ], "5": [ [ "FILTER_AND_RENAME_GENES", "polars", - "1.17.1" + "1.39.2" ] ], "counts": [ @@ -151,6 +151,6 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-21T09:28:30.334157385" + "timestamp": "2026-03-21T13:38:25.7671249" } } \ No newline at end of file diff --git a/tests/modules/local/genorm/cross_join/main.nf.test.snap b/tests/modules/local/genorm/cross_join/main.nf.test.snap index 9e314446..9325e1c2 100644 --- a/tests/modules/local/genorm/cross_join/main.nf.test.snap +++ b/tests/modules/local/genorm/cross_join/main.nf.test.snap @@ -9,21 +9,21 @@ "index_1": 0, "index_2": 1 }, - "cross_join.0.1.parquet:md5,ef1d4777f59bf8c52f05fa37d638989f" + "cross_join.0.1.parquet:md5,4557570a16dce055584692d68ea29ec8" ] ], "1": [ [ "CROSS_JOIN", "python", - "3.12.8" + "3.14.3" ] ], "2": [ [ "CROSS_JOIN", "polars", - "1.17.1" + "1.39.2" ] ], "data": [ @@ -33,7 +33,7 @@ "index_1": 0, "index_2": 1 }, - "cross_join.0.1.parquet:md5,ef1d4777f59bf8c52f05fa37d638989f" + "cross_join.0.1.parquet:md5,4557570a16dce055584692d68ea29ec8" ] ] } @@ -42,6 +42,6 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-19T10:41:20.934881638" + "timestamp": "2026-03-19T12:20:27.090508116" } } \ No newline at end of file diff --git a/tests/modules/local/merge_counts/main.nf.test.snap b/tests/modules/local/merge_counts/main.nf.test.snap index ed43c1eb..04998930 100644 --- a/tests/modules/local/merge_counts/main.nf.test.snap +++ b/tests/modules/local/merge_counts/main.nf.test.snap @@ -10,9 +10,6 @@ ], "2": [ - ], - "3": [ - ], "counts": [ @@ -23,7 +20,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-19T10:26:16.873022438" + "timestamp": "2026-03-19T12:22:52.352902147" }, "2 identical files": { "content": [ @@ -36,9 +33,6 @@ ], "2": [ - ], - "3": [ - ], "counts": [ @@ -49,7 +43,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-19T10:26:32.463105179" + "timestamp": "2026-03-19T12:23:06.464908148" }, "1 file": { "content": [ @@ -62,9 +56,6 @@ ], "2": [ - ], - "3": [ - ], "counts": [ @@ -75,6 +66,6 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-19T10:26:47.832142535" + "timestamp": "2026-03-19T12:23:20.533218583" } } \ No newline at end of file diff --git a/tests/modules/local/normalisation/compute_cpm/main.nf.test.snap b/tests/modules/local/normalisation/compute_cpm/main.nf.test.snap index 3635f638..9381295b 100644 --- a/tests/modules/local/normalisation/compute_cpm/main.nf.test.snap +++ b/tests/modules/local/normalisation/compute_cpm/main.nf.test.snap @@ -7,7 +7,7 @@ { "dataset": "test" }, - "counts.cpm.parquet:md5,5f9f89a0711ea45a216dcd29805d806a" + "counts.cpm.parquet:md5,8802fdfa77c0da39062bf357dccdd3cd" ] ], "1": [ @@ -20,14 +20,14 @@ [ "NORMALISATION_COMPUTE_CPM", "python", - "3.12.8" + "3.14.3" ] ], "4": [ [ "NORMALISATION_COMPUTE_CPM", "polars", - "1.17.1" + "1.39.2" ] ], "counts": [ @@ -35,7 +35,7 @@ { "dataset": "test" }, - "counts.cpm.parquet:md5,5f9f89a0711ea45a216dcd29805d806a" + "counts.cpm.parquet:md5,8802fdfa77c0da39062bf357dccdd3cd" ] ] } @@ -44,7 +44,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-21T09:54:49.255411101" + "timestamp": "2026-03-19T12:23:28.869065608" }, "One group": { "content": [ @@ -54,7 +54,7 @@ { "dataset": "accession" }, - "counts.cpm.parquet:md5,0af81a4e4e335bb2be6c4fa2e375696c" + "counts.cpm.parquet:md5,c8855975f68aad3c3bb060a23c14e2f9" ] ], "1": [ @@ -67,14 +67,14 @@ [ "NORMALISATION_COMPUTE_CPM", "python", - "3.12.8" + "3.14.3" ] ], "4": [ [ "NORMALISATION_COMPUTE_CPM", "polars", - "1.17.1" + "1.39.2" ] ], "counts": [ @@ -82,16 +82,16 @@ { "dataset": "accession" }, - "counts.cpm.parquet:md5,0af81a4e4e335bb2be6c4fa2e375696c" + "counts.cpm.parquet:md5,c8855975f68aad3c3bb060a23c14e2f9" ] ] } ], "meta": { "nf-test": "0.9.3", - "nextflow": "25.10.2" + "nextflow": "25.10.4" }, - "timestamp": "2026-01-06T17:46:38.175795079" + "timestamp": "2026-03-19T12:23:45.874853063" }, "TSV files": { "content": [ @@ -101,7 +101,7 @@ { "dataset": "accession" }, - "counts.cpm.parquet:md5,5f9f89a0711ea45a216dcd29805d806a" + "counts.cpm.parquet:md5,8802fdfa77c0da39062bf357dccdd3cd" ] ], "1": [ @@ -114,14 +114,14 @@ [ "NORMALISATION_COMPUTE_CPM", "python", - "3.12.8" + "3.14.3" ] ], "4": [ [ "NORMALISATION_COMPUTE_CPM", "polars", - "1.17.1" + "1.39.2" ] ], "counts": [ @@ -129,16 +129,16 @@ { "dataset": "accession" }, - "counts.cpm.parquet:md5,5f9f89a0711ea45a216dcd29805d806a" + "counts.cpm.parquet:md5,8802fdfa77c0da39062bf357dccdd3cd" ] ] } ], "meta": { "nf-test": "0.9.3", - "nextflow": "25.10.2" + "nextflow": "25.10.4" }, - "timestamp": "2026-01-06T17:46:46.581965221" + "timestamp": "2026-03-19T12:23:54.407797312" }, "Rows with many zeros": { "content": [ @@ -148,7 +148,7 @@ { "dataset": "test" }, - "counts.cpm.parquet:md5,a342cf59dee7ab9eadbe8df3420e3477" + "counts.cpm.parquet:md5,ab2596a5bb8b3b2e39754191a2dce2aa" ] ], "1": [ @@ -161,14 +161,14 @@ [ "NORMALISATION_COMPUTE_CPM", "python", - "3.12.8" + "3.14.3" ] ], "4": [ [ "NORMALISATION_COMPUTE_CPM", "polars", - "1.17.1" + "1.39.2" ] ], "counts": [ @@ -176,7 +176,7 @@ { "dataset": "test" }, - "counts.cpm.parquet:md5,a342cf59dee7ab9eadbe8df3420e3477" + "counts.cpm.parquet:md5,ab2596a5bb8b3b2e39754191a2dce2aa" ] ] } @@ -185,6 +185,6 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-21T09:54:58.866506808" + "timestamp": "2026-03-19T12:23:37.673065199" } } \ No newline at end of file diff --git a/tests/modules/local/normalisation/compute_tpm/main.nf.test.snap b/tests/modules/local/normalisation/compute_tpm/main.nf.test.snap index 4021f3e1..ae62449d 100644 --- a/tests/modules/local/normalisation/compute_tpm/main.nf.test.snap +++ b/tests/modules/local/normalisation/compute_tpm/main.nf.test.snap @@ -7,7 +7,7 @@ { "dataset": "test" }, - "counts.tpm.parquet:md5,2fe2ac9557f7d3955d5104563185cb31" + "counts.tpm.parquet:md5,e8e08e6af6b76fe41793259203925e37" ] ], "1": [ @@ -20,14 +20,14 @@ [ "NORMALISATION_COMPUTE_TPM", "python", - "3.12.8" + "3.14.3" ] ], "4": [ [ "NORMALISATION_COMPUTE_TPM", "polars", - "1.17.1" + "1.39.2" ] ], "counts": [ @@ -35,7 +35,7 @@ { "dataset": "test" }, - "counts.tpm.parquet:md5,2fe2ac9557f7d3955d5104563185cb31" + "counts.tpm.parquet:md5,e8e08e6af6b76fe41793259203925e37" ] ] } @@ -44,7 +44,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-21T09:55:28.307661988" + "timestamp": "2026-03-19T12:24:02.997684026" }, "One group": { "content": [ @@ -54,7 +54,7 @@ { "dataset": "test" }, - "counts.tpm.parquet:md5,7cc642e81f82432bf38690f105e5d2de" + "counts.tpm.parquet:md5,2bb5797b24bcd02a06b2794c94567638" ] ], "1": [ @@ -67,14 +67,14 @@ [ "NORMALISATION_COMPUTE_TPM", "python", - "3.12.8" + "3.14.3" ] ], "4": [ [ "NORMALISATION_COMPUTE_TPM", "polars", - "1.17.1" + "1.39.2" ] ], "counts": [ @@ -82,7 +82,7 @@ { "dataset": "test" }, - "counts.tpm.parquet:md5,7cc642e81f82432bf38690f105e5d2de" + "counts.tpm.parquet:md5,2bb5797b24bcd02a06b2794c94567638" ] ] } @@ -91,7 +91,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-21T09:55:48.474041541" + "timestamp": "2026-03-19T12:24:19.979776602" }, "TSV files": { "content": [ @@ -101,7 +101,7 @@ { "dataset": "test" }, - "counts.tpm.parquet:md5,2fe2ac9557f7d3955d5104563185cb31" + "counts.tpm.parquet:md5,e8e08e6af6b76fe41793259203925e37" ] ], "1": [ @@ -114,14 +114,14 @@ [ "NORMALISATION_COMPUTE_TPM", "python", - "3.12.8" + "3.14.3" ] ], "4": [ [ "NORMALISATION_COMPUTE_TPM", "polars", - "1.17.1" + "1.39.2" ] ], "counts": [ @@ -129,7 +129,7 @@ { "dataset": "test" }, - "counts.tpm.parquet:md5,2fe2ac9557f7d3955d5104563185cb31" + "counts.tpm.parquet:md5,e8e08e6af6b76fe41793259203925e37" ] ] } @@ -138,7 +138,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-21T09:55:58.697226034" + "timestamp": "2026-03-19T12:24:28.379319954" }, "Rows with many zeros": { "content": [ @@ -148,7 +148,7 @@ { "dataset": "test" }, - "counts.tpm.parquet:md5,72d0424d7465443a882963b3a77a2162" + "counts.tpm.parquet:md5,95563b1ba1083cfc31c2b9c18c5aeaaa" ] ], "1": [ @@ -161,14 +161,14 @@ [ "NORMALISATION_COMPUTE_TPM", "python", - "3.12.8" + "3.14.3" ] ], "4": [ [ "NORMALISATION_COMPUTE_TPM", "polars", - "1.17.1" + "1.39.2" ] ], "counts": [ @@ -176,7 +176,7 @@ { "dataset": "test" }, - "counts.tpm.parquet:md5,72d0424d7465443a882963b3a77a2162" + "counts.tpm.parquet:md5,95563b1ba1083cfc31c2b9c18c5aeaaa" ] ] } @@ -185,6 +185,6 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-21T09:55:38.263330206" + "timestamp": "2026-03-19T12:24:11.542614897" } } \ No newline at end of file diff --git a/tests/modules/local/normfinder/main.nf.test.snap b/tests/modules/local/normfinder/main.nf.test.snap index e54a6eb4..8bd99391 100644 --- a/tests/modules/local/normfinder/main.nf.test.snap +++ b/tests/modules/local/normfinder/main.nf.test.snap @@ -10,6 +10,15 @@ ], "2": [ + ], + "3": [ + + ], + "4": [ + + ], + "5": [ + ], "stability_values": [ @@ -17,10 +26,10 @@ } ], "meta": { - "nf-test": "0.9.2", - "nextflow": "25.04.8" + "nf-test": "0.9.3", + "nextflow": "25.10.4" }, - "timestamp": "2025-12-03T18:59:42.999801136" + "timestamp": "2026-03-19T12:25:07.29573484" }, "Very small dataset - Cq values": { "content": [ @@ -33,6 +42,15 @@ ], "2": [ + ], + "3": [ + + ], + "4": [ + + ], + "5": [ + ], "stability_values": [ @@ -40,9 +58,9 @@ } ], "meta": { - "nf-test": "0.9.2", - "nextflow": "25.04.8" + "nf-test": "0.9.3", + "nextflow": "25.10.4" }, - "timestamp": "2025-12-03T18:59:29.818592345" + "timestamp": "2026-03-19T12:24:48.380454454" } } \ No newline at end of file diff --git a/tests/modules/local/quantile_normalisation/main.nf.test.snap b/tests/modules/local/quantile_normalisation/main.nf.test.snap index 0f2f169d..7d8f6e25 100644 --- a/tests/modules/local/quantile_normalisation/main.nf.test.snap +++ b/tests/modules/local/quantile_normalisation/main.nf.test.snap @@ -7,21 +7,21 @@ { "dataset": "test" }, - "count.raw.cpm.quant_norm.parquet:md5,57629ccf12df0e16a39281dfe02df4bc" + "count.raw.cpm.quant_norm.parquet:md5,4ceb116e0a52b92ab31ec4e122ed12a1" ] ], "1": [ [ "QUANTILE_NORMALISATION", "python", - "3.14.2" + "3.14.3" ] ], "2": [ [ "QUANTILE_NORMALISATION", "polars", - "1.36.1" + "1.39.2" ] ], "3": [ @@ -36,7 +36,7 @@ { "dataset": "test" }, - "count.raw.cpm.quant_norm.parquet:md5,57629ccf12df0e16a39281dfe02df4bc" + "count.raw.cpm.quant_norm.parquet:md5,4ceb116e0a52b92ab31ec4e122ed12a1" ] ] } @@ -45,7 +45,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-21T09:56:51.559770587" + "timestamp": "2026-03-19T12:25:18.199367552" }, "Normal target distribution": { "content": [ @@ -55,21 +55,21 @@ { "dataset": "test" }, - "count.raw.cpm.quant_norm.parquet:md5,93484b73e81c9e3a6138aaddc1f79c41" + "count.raw.cpm.quant_norm.parquet:md5,10c118fd62dad210b585f30620679732" ] ], "1": [ [ "QUANTILE_NORMALISATION", "python", - "3.14.2" + "3.14.3" ] ], "2": [ [ "QUANTILE_NORMALISATION", "polars", - "1.36.1" + "1.39.2" ] ], "3": [ @@ -84,7 +84,7 @@ { "dataset": "test" }, - "count.raw.cpm.quant_norm.parquet:md5,93484b73e81c9e3a6138aaddc1f79c41" + "count.raw.cpm.quant_norm.parquet:md5,10c118fd62dad210b585f30620679732" ] ] } @@ -93,6 +93,6 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-21T09:57:03.814875185" + "timestamp": "2026-03-19T12:25:28.614802646" } } \ No newline at end of file diff --git a/tests/subworkflows/local/expression_normalisation/main.nf.test.snap b/tests/subworkflows/local/expression_normalisation/main.nf.test.snap index f99b4c53..04a5c4ec 100644 --- a/tests/subworkflows/local/expression_normalisation/main.nf.test.snap +++ b/tests/subworkflows/local/expression_normalisation/main.nf.test.snap @@ -10,7 +10,7 @@ "dataset": "rnaseq_raw", "platform": "rnaseq" }, - "rnaseq.raw.cpm.quant_norm.parquet:md5,447d804d600b61f0bc86326d3e0972cc" + "rnaseq.raw.cpm.quant_norm.parquet:md5,9f7988ca916b47ed614c824e001d2512" ], [ { @@ -19,7 +19,7 @@ "dataset": "microarray_normalised", "platform": "microarray" }, - "microarray.normalised.quant_norm.parquet:md5,9c3aec01cdb7ac94b0c28acd711a12a0" + "microarray.normalised.quant_norm.parquet:md5,0f9ed5a872e8c424a9ccc83b1c33753f" ] ], "counts": [ @@ -30,7 +30,7 @@ "dataset": "rnaseq_raw", "platform": "rnaseq" }, - "rnaseq.raw.cpm.quant_norm.parquet:md5,447d804d600b61f0bc86326d3e0972cc" + "rnaseq.raw.cpm.quant_norm.parquet:md5,9f7988ca916b47ed614c824e001d2512" ], [ { @@ -39,16 +39,16 @@ "dataset": "microarray_normalised", "platform": "microarray" }, - "microarray.normalised.quant_norm.parquet:md5,9c3aec01cdb7ac94b0c28acd711a12a0" + "microarray.normalised.quant_norm.parquet:md5,0f9ed5a872e8c424a9ccc83b1c33753f" ] ] } ], "meta": { "nf-test": "0.9.3", - "nextflow": "25.10.2" + "nextflow": "25.10.4" }, - "timestamp": "2026-01-06T17:50:09.532650251" + "timestamp": "2026-03-19T12:27:13.766132141" }, "No rnaseq normalisation": { "content": [ @@ -61,7 +61,7 @@ "dataset": "microarray_normalised", "platform": "microarray" }, - "microarray.normalised.quant_norm.parquet:md5,9c3aec01cdb7ac94b0c28acd711a12a0" + "microarray.normalised.quant_norm.parquet:md5,0f9ed5a872e8c424a9ccc83b1c33753f" ] ], "counts": [ @@ -72,16 +72,16 @@ "dataset": "microarray_normalised", "platform": "microarray" }, - "microarray.normalised.quant_norm.parquet:md5,9c3aec01cdb7ac94b0c28acd711a12a0" + "microarray.normalised.quant_norm.parquet:md5,0f9ed5a872e8c424a9ccc83b1c33753f" ] ] } ], "meta": { "nf-test": "0.9.3", - "nextflow": "25.10.2" + "nextflow": "25.10.4" }, - "timestamp": "2026-01-06T17:50:21.467295296" + "timestamp": "2026-03-19T12:27:25.897836784" }, "TPM Normalisation with gene length": { "content": [ @@ -94,7 +94,7 @@ "dataset": "rnaseq_raw", "platform": "rnaseq" }, - "rnaseq.raw.tpm.quant_norm.parquet:md5,2f169c426887a3c3502f665825c487aa" + "rnaseq.raw.tpm.quant_norm.parquet:md5,590b3bd6ec2b09533ef75ce9950d3a92" ], [ { @@ -103,7 +103,7 @@ "dataset": "microarray_normalised", "platform": "microarray" }, - "microarray.normalised.quant_norm.parquet:md5,9c3aec01cdb7ac94b0c28acd711a12a0" + "microarray.normalised.quant_norm.parquet:md5,0f9ed5a872e8c424a9ccc83b1c33753f" ] ], "counts": [ @@ -114,7 +114,7 @@ "dataset": "rnaseq_raw", "platform": "rnaseq" }, - "rnaseq.raw.tpm.quant_norm.parquet:md5,2f169c426887a3c3502f665825c487aa" + "rnaseq.raw.tpm.quant_norm.parquet:md5,590b3bd6ec2b09533ef75ce9950d3a92" ], [ { @@ -123,7 +123,7 @@ "dataset": "microarray_normalised", "platform": "microarray" }, - "microarray.normalised.quant_norm.parquet:md5,9c3aec01cdb7ac94b0c28acd711a12a0" + "microarray.normalised.quant_norm.parquet:md5,0f9ed5a872e8c424a9ccc83b1c33753f" ] ] } @@ -132,7 +132,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-19T11:25:23.406640228" + "timestamp": "2026-03-19T12:27:00.268510601" }, "TPM Normalisation": { "content": [ @@ -145,7 +145,7 @@ "dataset": "rnaseq_raw", "platform": "rnaseq" }, - "rnaseq.raw.tpm.quant_norm.parquet:md5,f7e75c14dde78849897a89f6e2d6ef65" + "rnaseq.raw.tpm.quant_norm.parquet:md5,d0e926a720de0803775b0dbd118b03ac" ], [ { @@ -154,7 +154,7 @@ "dataset": "microarray_normalised", "platform": "microarray" }, - "microarray.normalised.quant_norm.parquet:md5,9c3aec01cdb7ac94b0c28acd711a12a0" + "microarray.normalised.quant_norm.parquet:md5,0f9ed5a872e8c424a9ccc83b1c33753f" ] ], "counts": [ @@ -165,7 +165,7 @@ "dataset": "rnaseq_raw", "platform": "rnaseq" }, - "rnaseq.raw.tpm.quant_norm.parquet:md5,f7e75c14dde78849897a89f6e2d6ef65" + "rnaseq.raw.tpm.quant_norm.parquet:md5,d0e926a720de0803775b0dbd118b03ac" ], [ { @@ -174,15 +174,15 @@ "dataset": "microarray_normalised", "platform": "microarray" }, - "microarray.normalised.quant_norm.parquet:md5,9c3aec01cdb7ac94b0c28acd711a12a0" + "microarray.normalised.quant_norm.parquet:md5,0f9ed5a872e8c424a9ccc83b1c33753f" ] ] } ], "meta": { "nf-test": "0.9.3", - "nextflow": "25.10.2" + "nextflow": "25.10.4" }, - "timestamp": "2026-01-06T17:49:33.232295092" + "timestamp": "2026-03-19T12:26:44.852023368" } } \ No newline at end of file From cbc28b4f12d48ec57752f3f0c57f3ee5a70f29d3 Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Sun, 22 Mar 2026 10:25:40 +0100 Subject: [PATCH 12/41] pass linter --- ro-crate-metadata.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ro-crate-metadata.json b/ro-crate-metadata.json index 7bc538da..4b91e617 100644 --- a/ro-crate-metadata.json +++ b/ro-crate-metadata.json @@ -23,7 +23,7 @@ "@type": "Dataset", "creativeWorkStatus": "Stable", "datePublished": "2026-03-14T09:55:43+00:00", - "description": "

\n \n \n \"nf-core/stableexpression\"\n \n

\n\n[![Open in GitHub Codespaces](https://img.shields.io/badge/Open_In_GitHub_Codespaces-black?labelColor=grey&logo=github)](https://github.com/codespaces/new/nf-core/stableexpression)\n[![GitHub Actions CI Status](https://github.com/nf-core/stableexpression/actions/workflows/nf-test.yml/badge.svg)](https://github.com/nf-core/stableexpression/actions/workflows/nf-test.yml)\n[![GitHub Actions Linting Status](https://github.com/nf-core/stableexpression/actions/workflows/linting.yml/badge.svg)](https://github.com/nf-core/stableexpression/actions/workflows/linting.yml)[![AWS CI](https://img.shields.io/badge/CI%20tests-full%20size-FF9900?labelColor=000000&logo=Amazon%20AWS)](https://nf-co.re/stableexpression/results)[![Cite with Zenodo](http://img.shields.io/badge/DOI-10.5281/zenodo.XXXXXXX-1073c8?labelColor=000000)](https://doi.org/10.5281/zenodo.XXXXXXX)\n[![nf-test](https://img.shields.io/badge/unit_tests-nf--test-337ab7.svg)](https://www.nf-test.com)\n\n[![Nextflow](https://img.shields.io/badge/version-%E2%89%A525.04.0-green?style=flat&logo=nextflow&logoColor=white&color=%230DC09D&link=https%3A%2F%2Fnextflow.io)](https://www.nextflow.io/)\n[![nf-core template version](https://img.shields.io/badge/nf--core_template-3.5.1-green?style=flat&logo=nfcore&logoColor=white&color=%2324B064&link=https%3A%2F%2Fnf-co.re)](https://github.com/nf-core/tools/releases/tag/3.5.1)\n[![run with apptainer](https://custom-icon-badges.demolab.com/badge/run%20with-apptainer-4545?logo=apptainer&color=teal&labelColor=000000)](https://apptainer.org/)\n[![run with conda](http://img.shields.io/badge/run%20with-conda-3EB049?labelColor=000000&logo=anaconda)](https://docs.conda.io/en/latest/)\n[![run with docker](https://img.shields.io/badge/run%20with-docker-0db7ed?labelColor=000000&logo=docker)](https://www.docker.com/)\n[![run with singularity](https://img.shields.io/badge/run%20with-singularity-1d355c.svg?labelColor=000000)](https://sylabs.io/docs/)\n[![Launch on Seqera Platform](https://img.shields.io/badge/Launch%20%F0%9F%9A%80-Seqera%20Platform-%234256e7)](https://cloud.seqera.io/launch?pipeline=https://github.com/nf-core/stableexpression)\n\n[![Get help on Slack](http://img.shields.io/badge/slack-nf--core%20%23stableexpression-4A154B?labelColor=000000&logo=slack)](https://nfcore.slack.com/channels/stableexpression)[![Follow on Bluesky](https://img.shields.io/badge/bluesky-%40nf__core-1185fe?labelColor=000000&logo=bluesky)](https://bsky.app/profile/nf-co.re)[![Follow on Mastodon](https://img.shields.io/badge/mastodon-nf__core-6364ff?labelColor=FFFFFF&logo=mastodon)](https://mstdn.science/@nf_core)[![Watch on YouTube](http://img.shields.io/badge/youtube-nf--core-FF0000?labelColor=000000&logo=youtube)](https://www.youtube.com/c/nf-core)\n\n## Introduction\n\n**nf-core/stableexpression** is a bioinformatics pipeline aiming to aggregate multiple count datasets for a specific species and find the most stable genes. The datasets can be either downloaded from public databases (EBI, NCBI) or provided directly by the user. Both RNA-seq and Microarray count datasets can be utilised.\n\n

\n \n

\n\nIt takes as main inputs :\n\n- a species name (mandatory)\n- keywords for Expression Atlas / GEO search (optional)\n- a CSV input file listing your own raw / normalised count datasets (optional).\n\n**Use cases**:\n\n- **find the most suitable genes as RT-qPCR reference genes for a specific species (and optionally specific conditions)**\n- download all Expression Atlas and / or NCBI GEO datasets for a species (and optionally keywords)\n\n## Pipeline overview\n\nThe pipeline is built using [Nextflow](https://www.nextflow.io/) and processes data using the following steps:\n\n#### 1. Get accessions from public databases\n\n- Get [Expression Atlas](https://www.ebi.ac.uk/gxa/home) dataset accessions corresponding to the provided species (and optionally keywords)\n This step is run by default but is optional. Set `--skip_fetch_eatlas_accessions` to skip it.\n- Get NBCI [GEO](https://www.ncbi.nlm.nih.gov/gds) **microarray** dataset accessions corresponding to the provided species (and optionally keywords)\n This is optional and **NOT** run by default. Set `--fetch_geo_accessions` to run it.\n\n#### 2. Download data (see [usage](conf/usage.md#3-provide-your-own-accessions))\n\n- Download [Expression Atlas](https://www.ebi.ac.uk/gxa/home) data if any\n- Download NBCI [GEO](https://www.ncbi.nlm.nih.gov/gds) data if any\n\n> [!NOTE]\n> At this point, datasets downloaded from public databases are merged with datasets provided by the user using the `--datasets` parameter. See [usage](conf/usage.md#4-use-your-own-expression-datasets) for more information about local datasets.\n\n#### 3. ID Mapping (see [usage](conf/usage.md#5-custom-gene-id-mapping--metadata))\n\n- Gene IDs are cleaned\n- Map gene IDS to NCBI Entrez Gene IDS (or Ensembl IDs) for standardisation among datasets using [g:Profiler](https://biit.cs.ut.ee/gprofiler/gost) (run by default; optional)\n- Rare genes are filtered out\n\n#### 4. Sample filtering\n\nSamples that show too high ratios of zeros or missing values are removed from the analysis.\n\n#### 5. Normalisation of expression\n\n- Normalize RNAseq raw data using TPM (necessitates downloading the corresponding genome and computing transcript lengths) or CPM.\n- Perform quantile normalisation on each dataset separately using [scikit-learn](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html)\n\n#### 6. Merge all data\n\nAll datasets are merged into one single dataframe.\n\n#### 7. Imputation of missing values\n\nMissing values are replaced by imputed values using a specific algorithm provided by [scikit-learn](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html). The user can choose the method of imputation with the `--missing_value_imputer` parameter.\n\n#### 8. General statistics for each gene\n\nBase statistics are computed for each gene, platform-wide and for each platform (RNAseq and microarray).\n\n#### 9. Scoring\n\n- The whole list of genes is divided in multiple sections, based on their expression level.\n- Based on the coefficient of variation, a shortlist of candidates genes is extracted for each section.\n- Run optimised, scalable version of [Normfinder](https://www.moma.dk/software/normfinder)\n- Run optimised, scalable version of [Genorm](https://genomebiology.biomedcentral.com/articles/10.1186/gb-2002-3-7-research0034) (run by default; optional)\n- Compute stability scores for each candidate gene\n\n#### 10. Reporting\n\n- Result aggregation\n- Make [`MultiQC`](http://multiqc.info/) report\n- Prepare [Dash Plotly](https://dash.plotly.com/) app for further investigation of gene / sample counts\n\n## Basic usage\n\n> [!NOTE]\n> If you are new to Nextflow and nf-core, please refer to [this page](https://nf-co.re/docs/usage/installation) on how to set-up Nextflow. Make sure to [test your setup](https://nf-co.re/docs/usage/introduction#how-to-run-a-pipeline) with `-profile test` before running the workflow on actual data.\n\nTo search the most stable genes in a species considering all public datasets, simply run:\n\n```bash\nnextflow run nf-core/stableexpression \\\n -profile \\\n --species \\\n --outdir \\\n -resume\n```\n\n## More advanced usage\n\nFor more specific scenarios, like:\n\n- **fetching only specific conditions**\n- **using your own expression dataset(s)**\n\nplease refer to the [usage documentation](https://nf-co.re/stableexpression/usage).\n\n## Resource allocation\n\nFor setting pipeline CPU / memory usage, see [here](docs/configuration.md).\n\n## Profiles\n\nSee [here](https://nf-co.re/stableexpression/usage#profiles) for more information about profiles.\n\n## Pipeline output\n\nTo see the results of an example test run with a full size dataset refer to the [results](https://nf-co.re/stableexpression/results) tab on the nf-core website pipeline page.\nFor more details about the output files and reports, please refer to the\n[output documentation](https://nf-co.re/stableexpression/output).\n\n## Support us\n\nIf you like nf-core/stableexpression, please make sure you give it a star on GitHub!\n\n[![stars - stableexpression](https://img.shields.io/github/stars/nf-core/stableexpression?style=social)](https://github.com/nf-core/stableexpression)\n\n## Credits\n\nnf-core/stableexpression was originally written by Olivier Coen.\n\n\n\n\n\n## Contributions and Support\n\nIf you would like to contribute to this pipeline, please see the [contributing guidelines](.github/CONTRIBUTING.md).\n\nFor further information or help, don't hesitate to get in touch on the [Slack `#stableexpression` channel](https://nfcore.slack.com/channels/stableexpression) (you can join with [this invite](https://nf-co.re/join/slack)).\n\n## Citations\n\n\n\n\nAn extensive list of references for the tools used by the pipeline can be found in the [`CITATIONS.md`](CITATIONS.md) file.\n\nYou can cite the `nf-core` publication as follows:\n\n> **The nf-core framework for community-curated bioinformatics pipelines.**\n>\n> Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.\n>\n> _Nat Biotechnol._ 2020 Feb 13. doi: [10.1038/s41587-020-0439-x](https://dx.doi.org/10.1038/s41587-020-0439-x).\n", + "description": "

\n \n \n \"nf-core/stableexpression\"\n \n

\n\n[![Open in GitHub Codespaces](https://img.shields.io/badge/Open_In_GitHub_Codespaces-black?labelColor=grey&logo=github)](https://github.com/codespaces/new/nf-core/stableexpression)\n[![GitHub Actions CI Status](https://github.com/nf-core/stableexpression/actions/workflows/nf-test.yml/badge.svg)](https://github.com/nf-core/stableexpression/actions/workflows/nf-test.yml)\n[![GitHub Actions Linting Status](https://github.com/nf-core/stableexpression/actions/workflows/linting.yml/badge.svg)](https://github.com/nf-core/stableexpression/actions/workflows/linting.yml)[![AWS CI](https://img.shields.io/badge/CI%20tests-full%20size-FF9900?labelColor=000000&logo=Amazon%20AWS)](https://nf-co.re/stableexpression/results)[![Cite with Zenodo](http://img.shields.io/badge/DOI-10.5281/zenodo.XXXXXXX-1073c8?labelColor=000000)](https://doi.org/10.5281/zenodo.XXXXXXX)\n[![nf-test](https://img.shields.io/badge/unit_tests-nf--test-337ab7.svg)](https://www.nf-test.com)\n\n[![Nextflow](https://img.shields.io/badge/version-%E2%89%A525.04.0-green?style=flat&logo=nextflow&logoColor=white&color=%230DC09D&link=https%3A%2F%2Fnextflow.io)](https://www.nextflow.io/)\n[![nf-core template version](https://img.shields.io/badge/nf--core_template-3.5.1-green?style=flat&logo=nfcore&logoColor=white&color=%2324B064&link=https%3A%2F%2Fnf-co.re)](https://github.com/nf-core/tools/releases/tag/3.5.1)\n[![run with apptainer](https://custom-icon-badges.demolab.com/badge/run%20with-apptainer-4545?logo=apptainer&color=teal&labelColor=000000)](https://apptainer.org/)\n[![run with conda](http://img.shields.io/badge/run%20with-conda-3EB049?labelColor=000000&logo=anaconda)](https://docs.conda.io/en/latest/)\n[![run with docker](https://img.shields.io/badge/run%20with-docker-0db7ed?labelColor=000000&logo=docker)](https://www.docker.com/)\n[![run with singularity](https://img.shields.io/badge/run%20with-singularity-1d355c.svg?labelColor=000000)](https://sylabs.io/docs/)\n[![Launch on Seqera Platform](https://img.shields.io/badge/Launch%20%F0%9F%9A%80-Seqera%20Platform-%234256e7)](https://cloud.seqera.io/launch?pipeline=https://github.com/nf-core/stableexpression)\n\n[![Get help on Slack](http://img.shields.io/badge/slack-nf--core%20%23stableexpression-4A154B?labelColor=000000&logo=slack)](https://nfcore.slack.com/channels/stableexpression)[![Follow on Bluesky](https://img.shields.io/badge/bluesky-%40nf__core-1185fe?labelColor=000000&logo=bluesky)](https://bsky.app/profile/nf-co.re)[![Follow on Mastodon](https://img.shields.io/badge/mastodon-nf__core-6364ff?labelColor=FFFFFF&logo=mastodon)](https://mstdn.science/@nf_core)[![Watch on YouTube](http://img.shields.io/badge/youtube-nf--core-FF0000?labelColor=000000&logo=youtube)](https://www.youtube.com/c/nf-core)\n\n## Introduction\n\n**nf-core/stableexpression** is a bioinformatics pipeline aiming to aggregate multiple count datasets for a specific species and find the most stable genes. The datasets can be either downloaded from public databases (EBI, NCBI) or provided directly by the user. Both RNA-seq and Microarray count datasets can be utilised.\n\n

\n \n

\n\nIt takes as main inputs :\n\n- a species name (mandatory)\n- keywords for Expression Atlas / GEO search (optional)\n- a CSV input file listing your own raw / normalised count datasets (optional).\n\n**Use cases**:\n\n- **find the most suitable genes as RT-qPCR reference genes for a specific species (and optionally specific conditions)**\n- download all Expression Atlas and / or NCBI GEO datasets for a species (and optionally keywords)\n\n## Pipeline overview\n\nThe pipeline is built using [Nextflow](https://www.nextflow.io/) and processes data using the following steps:\n\n#### 1. Get accessions from public databases\n\n- Get [Expression Atlas](https://www.ebi.ac.uk/gxa/home) dataset accessions corresponding to the provided species (and optionally keywords)\n This step is run by default but is optional. Set `--skip_fetch_eatlas_accessions` to skip it.\n- Get NBCI [GEO](https://www.ncbi.nlm.nih.gov/gds) **microarray** dataset accessions corresponding to the provided species (and optionally keywords)\n This is optional and **NOT** run by default. Set `--fetch_geo_accessions` to run it.\n\n#### 2. Download data (see [usage](conf/usage.md#3-provide-your-own-accessions))\n\n- Download [Expression Atlas](https://www.ebi.ac.uk/gxa/home) data if any\n- Download NBCI [GEO](https://www.ncbi.nlm.nih.gov/gds) data if any\n\n> [!NOTE]\n> At this point, datasets downloaded from public databases are merged with datasets provided by the user using the `--datasets` parameter. See [usage](conf/usage.md#4-use-your-own-expression-datasets) for more information about local datasets.\n\n#### 3. ID Mapping (see [usage](conf/usage.md#5-custom-gene-id-mapping--metadata))\n\n- Gene IDs are cleaned\n- Map gene IDS to NCBI Entrez Gene IDS (or Ensembl IDs) for standardisation among datasets using [g:Profiler](https://biit.cs.ut.ee/gprofiler/gost) (run by default; optional)\n- Rare genes are filtered out\n\n#### 4. Sample filtering\n\nSamples that show too high ratios of zeros or missing values are removed from the analysis.\n\n#### 5. Normalisation of expression\n\n- Normalize RNAseq raw data using TPM (necessitates downloading the corresponding genome and computing transcript lengths) or CPM.\n- Perform quantile normalisation on each dataset separately using [scikit-learn](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html)\n\n#### 6. Merge all data\n\nAll datasets are merged into one single dataframe.\n\n#### 7. Imputation of missing values\n\nMissing values are replaced by imputed values using a specific algorithm provided by [scikit-learn](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html). The user can choose the method of imputation with the `--missing_value_imputer` parameter.\n\n#### 8. General statistics for each gene\n\nBase statistics are computed for each gene, platform-wide and for each platform (RNAseq and microarray).\n\n#### 9. Scoring\n\n- The whole list of genes is divided in multiple sections, based on their expression level.\n- Based on the coefficient of variation, a shortlist of candidates genes is extracted for each section.\n- Run optimised, scalable version of [Normfinder](https://www.moma.dk/software/normfinder)\n- Run optimised, scalable version of [Genorm](https://genomebiology.biomedcentral.com/articles/10.1186/gb-2002-3-7-research0034) (run by default; optional)\n- Compute stability scores for each candidate gene\n\n#### 10. Reporting\n\n- Result aggregation\n- Make [`MultiQC`](http://multiqc.info/) report\n- Prepare [Dash Plotly](https://dash.plotly.com/) app for further investigation of gene / sample counts\n\n## Basic usage\n\n> [!NOTE]\n> If you are new to Nextflow and nf-core, please refer to [this page](https://nf-co.re/docs/usage/installation) on how to set-up Nextflow. Make sure to [test your setup](https://nf-co.re/docs/usage/introduction#how-to-run-a-pipeline) with `-profile test` before running the workflow on actual data.\n\nTo search the most stable genes in a species considering all public datasets, simply run:\n\n```bash\nnextflow run nf-core/stableexpression \\\n -profile \\\n --species \\\n --outdir \\\n -resume\n```\n\n## More advanced usage\n\nFor more specific scenarios, like:\n\n- **fetching only specific conditions**\n- **using your own expression dataset(s)**\n\nplease refer to the [usage documentation](https://nf-co.re/stableexpression/usage).\n\n## Resource allocation\n\nFor setting pipeline CPU / memory usage, see [here](docs/configuration.md).\n\n## Profiles\n\nSee [here](https://nf-co.re/stableexpression/usage#profiles) for more information about profiles.\n\n## Pipeline output\n\nTo see the results of an example test run with a full size dataset refer to the [results](https://nf-co.re/stableexpression/results) tab on the nf-core website pipeline page.\nFor more details about the output files and reports, please refer to the\n[output documentation](https://nf-co.re/stableexpression/output).\n\n## Support us\n\nIf you like nf-core/stableexpression, please make sure you give it a star on GitHub!\n\n[![stars - stableexpression](https://img.shields.io/github/stars/nf-core/stableexpression?style=social)](https://github.com/nf-core/stableexpression)\n\n## Credits\n\nnf-core/stableexpression was originally written by Olivier Coen.\n\nWe thank the following people for their assistance in the development of this pipeline:\n\n- R\u00e9my Costa\n\n## Contributions and Support\n\nIf you would like to contribute to this pipeline, please see the [contributing guidelines](.github/CONTRIBUTING.md).\n\nFor further information or help, don't hesitate to get in touch on the [Slack `#stableexpression` channel](https://nfcore.slack.com/channels/stableexpression) (you can join with [this invite](https://nf-co.re/join/slack)).\n\n## Citations\n\n\n\n\nAn extensive list of references for the tools used by the pipeline can be found in the [`CITATIONS.md`](CITATIONS.md) file.\n\nYou can cite the `nf-core` publication as follows:\n\n> **The nf-core framework for community-curated bioinformatics pipelines.**\n>\n> Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.\n>\n> _Nat Biotechnol._ 2020 Feb 13. doi: [10.1038/s41587-020-0439-x](https://dx.doi.org/10.1038/s41587-020-0439-x).\n", "hasPart": [ { "@id": "main.nf" From f3c557dbec985bbaed7f2587399d8b5e27bb5d27 Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Sun, 22 Mar 2026 13:48:56 +0100 Subject: [PATCH 13/41] better handle connection issues in expression atlas getdata --- bin/download_eatlas_data.R | 4 ++++ conf/base.config | 8 +++++--- .../main.nf | 15 ++++++++++----- tests/default.nf.test.snap | 2 +- 4 files changed, 20 insertions(+), 9 deletions(-) diff --git a/bin/download_eatlas_data.R b/bin/download_eatlas_data.R index e41ba82a..2684908a 100755 --- a/bin/download_eatlas_data.R +++ b/bin/download_eatlas_data.R @@ -66,6 +66,10 @@ download_expression_atlas_data_with_retries <- function(accession, max_retries = warning(w$message) write("EXPERIMENT NOT FOUND", file = FAILURE_REASON_FILE) quit(save = "no", status = 0) + } else if (grepl("FTP status was", w$message)) { + warning(w$message) + write("FTP ERROR", file = FAILURE_REASON_FILE) + quit(save = "no", status = 101) } else { warning("Unhandled warning: ", w$message) write("UNKNOWN ERROR", file = FAILURE_REASON_FILE) diff --git a/conf/base.config b/conf/base.config index 72e253ce..340149ca 100644 --- a/conf/base.config +++ b/conf/base.config @@ -26,9 +26,11 @@ process { time = { 4.h * task.attempt } errorStrategy = { - if (task.exitStatus in (100..102)) { // managed errors; they should not be retried but ignored at once + if (task.exitStatus == 100) { // managed errors that should not be retried but ignored at once 'ignore' - } else if (task.exitStatus in ((130..145) + 104 + 175) && task.attempt <= 10) { // OOM & related errors; should be retried as long as memory does not fit + } else if (task.exitStatus == 101) { // connection errors that should be retried + 'retry' + } else if (task.exitStatus in ((130..145) + 104 + 175)) { // OOM & related errors; should be retried as long as memory does not fit sleep(Math.pow(2, task.attempt) * 200 as long) 'retry' } else if (task.attempt <= 3) { // all other errors should be retried with exponential backoff with max retry = 3 @@ -39,7 +41,7 @@ process { } } maxRetries = 10 - maxErrors = '-1' + maxErrors = '-1' // Process-specific resource requirements // NOTE - Please try and reuse the labels below as much as possible. diff --git a/subworkflows/local/utils_nfcore_stableexpression_pipeline/main.nf b/subworkflows/local/utils_nfcore_stableexpression_pipeline/main.nf index 9e238a2e..58210dfc 100644 --- a/subworkflows/local/utils_nfcore_stableexpression_pipeline/main.nf +++ b/subworkflows/local/utils_nfcore_stableexpression_pipeline/main.nf @@ -407,15 +407,20 @@ def checkCounts(ch_counts) { def msg_lst = [] if ( !params.fetch_geo_accessions ) { msg_lst = [ - "Could not find any readily usable public dataset.", - "Please set the --fetch_geo_accessions flag and run again." + "Could not find any readily usable public dataset...", + "This might be due to connection issues on the Expression Atlas FTP server.", + "If it is the case, please wait for a couple of minutes and run again.", + "Alternatively, datasets for your species of interest might not exist on Expression Atlas.", + "In this case, you can try to get additional datasets from NCBI GEO Datasets using the --fetch_geo_accessions flag (this feature is still experimental)." ] } else { msg_lst = [ - "Could not find any readily usable public dataset.", - "You can check directly on NCBI GEO if there are datasets for this species that you can prepare yourself:", + "Could not find any readily usable public dataset...", + "This might be due to connection issues on the Expression Atlas FTP server.", + "If it is the case, please wait for a couple of minutes and run again.", + "You can check directly on NCBI GEO Datasets if there are available datasets for this species that you can prepare yourself:", "https://www.ncbi.nlm.nih.gov/gds", - "Once you have prepared your own data, you can relaunch the pipeline and provided your prepared count datasets using the --datasets parameter. ", + "Once you have prepared your own data, you can relaunch the pipeline and provide your prepared count datasets using the --datasets parameter. ", "For more information, see the online documentation at https://nf-co.re/stableexpression." ] } diff --git a/tests/default.nf.test.snap b/tests/default.nf.test.snap index 46f7b93c..9959231c 100644 --- a/tests/default.nf.test.snap +++ b/tests/default.nf.test.snap @@ -1813,7 +1813,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-21T12:16:37.497817951" + "timestamp": "2026-03-22T13:10:05.64690275" }, "-profile test_accessions_only": { "content": [ From 89fdc04ea53a042beaa6b889dbc37ab5129ae550 Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Sun, 22 Mar 2026 23:35:52 +0100 Subject: [PATCH 14/41] update broken links in documentation --- README.md | 8 ++++---- docs/troubleshooting.md | 2 +- docs/usage.md | 2 +- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 4f7491a1..e076014d 100644 --- a/README.md +++ b/README.md @@ -50,15 +50,15 @@ The pipeline is built using [Nextflow](https://www.nextflow.io/) and processes d - Get NBCI [GEO](https://www.ncbi.nlm.nih.gov/gds) **microarray** dataset accessions corresponding to the provided species (and optionally keywords) This is optional and **NOT** run by default. Set `--fetch_geo_accessions` to run it. -#### 2. Download data (see [usage](conf/usage.md#3-provide-your-own-accessions)) +#### 2. Download data (see [usage](./conf/usage.md#3-provide-your-own-accessions)) - Download [Expression Atlas](https://www.ebi.ac.uk/gxa/home) data if any - Download NBCI [GEO](https://www.ncbi.nlm.nih.gov/gds) data if any > [!NOTE] -> At this point, datasets downloaded from public databases are merged with datasets provided by the user using the `--datasets` parameter. See [usage](conf/usage.md#4-use-your-own-expression-datasets) for more information about local datasets. +> At this point, datasets downloaded from public databases are merged with datasets provided by the user using the `--datasets` parameter. See [usage](./conf/usage.md#4-use-your-own-expression-datasets) for more information about local datasets. -#### 3. ID Mapping (see [usage](conf/usage.md#5-custom-gene-id-mapping--metadata)) +#### 3. ID Mapping (see [usage](./conf/usage.md#5-custom-gene-id-mapping--metadata)) - Gene IDs are cleaned - Map gene IDS to NCBI Entrez Gene IDS (or Ensembl IDs) for standardisation among datasets using [g:Profiler](https://biit.cs.ut.ee/gprofiler/gost) (run by default; optional) @@ -125,7 +125,7 @@ please refer to the [usage documentation](https://nf-co.re/stableexpression/usag ## Resource allocation -For setting pipeline CPU / memory usage, see [here](docs/configuration.md). +For setting pipeline CPU / memory usage, see [here](./docs/configuration.md). ## Profiles diff --git a/docs/troubleshooting.md b/docs/troubleshooting.md index 49034524..d68a0792 100644 --- a/docs/troubleshooting.md +++ b/docs/troubleshooting.md @@ -51,7 +51,7 @@ To reduce the RAM overhead, the pipeline selects randomly a certain number of da ## The pipeline failed to find a genome annotation for the specified species -If you know the length of the longest cDNA for each gene, you can provide gene lengths yourself with the `--gene_length` flag (see [Custom gene ID mapping / metadata / length](docs/usage.md#5-custom-gene-id-mapping-and-metadata)). In case you do not have access to gene length, TPM normalisation cannot be formed. A fallback is to use CPM normalisation by setting `--normalisation_method cpm`. It will introduce a small bias towards long genes, but this should not result in big changes. +If you know the length of the longest cDNA for each gene, you can provide gene lengths yourself with the `--gene_length` flag (see [Custom gene ID mapping / metadata / length](usage.md#5-custom-gene-id-mapping--metadata)). In case you do not have access to gene length, TPM normalisation cannot be formed. A fallback is to use CPM normalisation by setting `--normalisation_method cpm`. It will introduce a small bias towards long genes, but this should not result in big changes. ## Java heap space diff --git a/docs/usage.md b/docs/usage.md index b197f23d..2bc85a3c 100644 --- a/docs/usage.md +++ b/docs/usage.md @@ -178,7 +178,7 @@ nextflow run nf-core/stableexpression \ > - a custom gene id mapping might help merging datasets properly > - custom gene metadata (association between gene id, gene name and gene description) will supply relevant metadata in the final MultiQC report > -> See [next section](#5-custom-gene-id-mapping-and-metadata) for further details. +> See [next section](#5-custom-gene-id-mapping--metadata) for further details. > [!TIP] > You can check if your gene IDs can be mapped using the [g:Profiler server](https://biit.cs.ut.ee/gprofiler/convert). From 1564c47981dd3fcf934e8ec67186ff865a5fef1a Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Mon, 23 Mar 2026 22:54:36 +0100 Subject: [PATCH 15/41] update snapshots --- tests/default.nf.test.snap | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/tests/default.nf.test.snap b/tests/default.nf.test.snap index 9959231c..d61362be 100644 --- a/tests/default.nf.test.snap +++ b/tests/default.nf.test.snap @@ -755,9 +755,9 @@ "multiqc_genes_section_1_7.txt:md5,d440bc9cce034ba82dd0d9f3387f9094", "multiqc_genes_section_1_8.txt:md5,dc1f5de798343036301a059b545a378f", "multiqc_genes_section_1_9.txt:md5,e9402e81e8c32c8a6b4015c4a55962f0", - "multiqc_geo_all_experiments_metadata.txt:md5,c3962a65615c4cb6eb081dc0eab8f119", - "multiqc_geo_rejected_experiments_metadata.txt:md5,42dfe20aaa23470fb5d7ca716c3fb2c4", - "multiqc_geo_selected_experiments_metadata.txt:md5,8a20f44e6fe3a6d8bdbdd8d6441c350a", + "multiqc_geo_all_experiments_metadata.txt:md5,2be2c1cfe9b180a59917b18f6dacdbcb", + "multiqc_geo_rejected_experiments_metadata.txt:md5,d6252a5d3c78d577293853c911e32f69", + "multiqc_geo_selected_experiments_metadata.txt:md5,a1bad9ef798e84193b10e367312f9fc0", "multiqc_geo_warning_reasons.txt:md5,2b53d4be74728c504752515f74c58fd2", "multiqc_id_mapping_stats.txt:md5,f03d4786d088307ad756b9661fd61ede", "multiqc_normalised_expr_distrib_section_1.txt:md5,fe7c9f8eff636a38deee18a05e17ed4d", @@ -795,9 +795,9 @@ "E_MTAB_8187_rnaseq.design.csv:md5,fbd18d011d7d855452e5a30a303afcbf", "E_MTAB_8187_rnaseq.rnaseq.raw.counts.csv:md5,fe221fd94f66df7120b0590091e14eb1", "accessions.txt:md5,a850f625a78be7b4b10ce08a5b638e23", - "geo_all_datasets.metadata.tsv:md5,c5e62d09be250a7bf863ebaf99b4d191", - "geo_rejected_datasets.metadata.tsv:md5,c47d5b5db1bbd681a99195fa160599e1", - "geo_selected_datasets.metadata.tsv:md5,abbe634ff552de149c86beb3fadb3e55", + "geo_all_datasets.metadata.tsv:md5,54d02cbc207a6622ddd53f707834facc", + "geo_rejected_datasets.metadata.tsv:md5,4b4908f7ae40b84a1ac1bd5addfc8dd2", + "geo_selected_datasets.metadata.tsv:md5,6057162d44b4f2edfb006e39016e44dd", "GSE55951_GPL18429.microarray.normalised.counts.csv:md5,18fd2d728ad2ec5cb78f994f73375144", "GSE55951_GPL18429.microarray.normalised.design.csv:md5,f4872dff0edbe441d1600ffe2b67a25d", "GSE135555_suppl.rnaseq.raw.counts.csv:md5,b34bde25ea5d508a1670ce4264073df1", @@ -819,7 +819,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-21T11:49:42.993443585" + "timestamp": "2026-03-22T22:14:10.408145508" }, "-profile test_included_and_excluded_accessions": { "content": [ From acbc1b1d2302130fd95fcb9870dfc338e72d67e3 Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Mon, 23 Mar 2026 22:54:50 +0100 Subject: [PATCH 16/41] update min version of Nextflow --- .github/workflows/nf-test.yml | 2 +- README.md | 2 +- nextflow.config | 2 +- ro-crate-metadata.json | 6 +++--- 4 files changed, 6 insertions(+), 6 deletions(-) diff --git a/.github/workflows/nf-test.yml b/.github/workflows/nf-test.yml index c98d76ec..636f03a6 100644 --- a/.github/workflows/nf-test.yml +++ b/.github/workflows/nf-test.yml @@ -78,7 +78,7 @@ jobs: - isMain: false profile: "singularity" NXF_VER: - - "25.04.0" + - "25.04.8" - "latest-everything" env: NXF_ANSI_LOG: false diff --git a/README.md b/README.md index e076014d..69d535fd 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ [![GitHub Actions Linting Status](https://github.com/nf-core/stableexpression/actions/workflows/linting.yml/badge.svg)](https://github.com/nf-core/stableexpression/actions/workflows/linting.yml)[![AWS CI](https://img.shields.io/badge/CI%20tests-full%20size-FF9900?labelColor=000000&logo=Amazon%20AWS)](https://nf-co.re/stableexpression/results)[![Cite with Zenodo](http://img.shields.io/badge/DOI-10.5281/zenodo.XXXXXXX-1073c8?labelColor=000000)](https://doi.org/10.5281/zenodo.XXXXXXX) [![nf-test](https://img.shields.io/badge/unit_tests-nf--test-337ab7.svg)](https://www.nf-test.com) -[![Nextflow](https://img.shields.io/badge/version-%E2%89%A525.04.0-green?style=flat&logo=nextflow&logoColor=white&color=%230DC09D&link=https%3A%2F%2Fnextflow.io)](https://www.nextflow.io/) +[![Nextflow](https://img.shields.io/badge/version-%E2%89%A525.04.8-green?style=flat&logo=nextflow&logoColor=white&color=%230DC09D&link=https%3A%2F%2Fnextflow.io)](https://www.nextflow.io/) [![nf-core template version](https://img.shields.io/badge/nf--core_template-3.5.1-green?style=flat&logo=nfcore&logoColor=white&color=%2324B064&link=https%3A%2F%2Fnf-co.re)](https://github.com/nf-core/tools/releases/tag/3.5.1) [![run with apptainer](https://custom-icon-badges.demolab.com/badge/run%20with-apptainer-4545?logo=apptainer&color=teal&labelColor=000000)](https://apptainer.org/) [![run with conda](http://img.shields.io/badge/run%20with-conda-3EB049?labelColor=000000&logo=anaconda)](https://docs.conda.io/en/latest/) diff --git a/nextflow.config b/nextflow.config index 910a3ec7..7537a74d 100644 --- a/nextflow.config +++ b/nextflow.config @@ -306,7 +306,7 @@ manifest { description = """This pipeline is dedicated to finding the most stable genes across count datasets""" mainScript = 'main.nf' defaultBranch = 'main' - nextflowVersion = '!>=25.04.0' + nextflowVersion = '!>=25.04.8' version = '1.0.0' doi = '' } diff --git a/ro-crate-metadata.json b/ro-crate-metadata.json index 4b91e617..b4f79f06 100644 --- a/ro-crate-metadata.json +++ b/ro-crate-metadata.json @@ -23,7 +23,7 @@ "@type": "Dataset", "creativeWorkStatus": "Stable", "datePublished": "2026-03-14T09:55:43+00:00", - "description": "

\n \n \n \"nf-core/stableexpression\"\n \n

\n\n[![Open in GitHub Codespaces](https://img.shields.io/badge/Open_In_GitHub_Codespaces-black?labelColor=grey&logo=github)](https://github.com/codespaces/new/nf-core/stableexpression)\n[![GitHub Actions CI Status](https://github.com/nf-core/stableexpression/actions/workflows/nf-test.yml/badge.svg)](https://github.com/nf-core/stableexpression/actions/workflows/nf-test.yml)\n[![GitHub Actions Linting Status](https://github.com/nf-core/stableexpression/actions/workflows/linting.yml/badge.svg)](https://github.com/nf-core/stableexpression/actions/workflows/linting.yml)[![AWS CI](https://img.shields.io/badge/CI%20tests-full%20size-FF9900?labelColor=000000&logo=Amazon%20AWS)](https://nf-co.re/stableexpression/results)[![Cite with Zenodo](http://img.shields.io/badge/DOI-10.5281/zenodo.XXXXXXX-1073c8?labelColor=000000)](https://doi.org/10.5281/zenodo.XXXXXXX)\n[![nf-test](https://img.shields.io/badge/unit_tests-nf--test-337ab7.svg)](https://www.nf-test.com)\n\n[![Nextflow](https://img.shields.io/badge/version-%E2%89%A525.04.0-green?style=flat&logo=nextflow&logoColor=white&color=%230DC09D&link=https%3A%2F%2Fnextflow.io)](https://www.nextflow.io/)\n[![nf-core template version](https://img.shields.io/badge/nf--core_template-3.5.1-green?style=flat&logo=nfcore&logoColor=white&color=%2324B064&link=https%3A%2F%2Fnf-co.re)](https://github.com/nf-core/tools/releases/tag/3.5.1)\n[![run with apptainer](https://custom-icon-badges.demolab.com/badge/run%20with-apptainer-4545?logo=apptainer&color=teal&labelColor=000000)](https://apptainer.org/)\n[![run with conda](http://img.shields.io/badge/run%20with-conda-3EB049?labelColor=000000&logo=anaconda)](https://docs.conda.io/en/latest/)\n[![run with docker](https://img.shields.io/badge/run%20with-docker-0db7ed?labelColor=000000&logo=docker)](https://www.docker.com/)\n[![run with singularity](https://img.shields.io/badge/run%20with-singularity-1d355c.svg?labelColor=000000)](https://sylabs.io/docs/)\n[![Launch on Seqera Platform](https://img.shields.io/badge/Launch%20%F0%9F%9A%80-Seqera%20Platform-%234256e7)](https://cloud.seqera.io/launch?pipeline=https://github.com/nf-core/stableexpression)\n\n[![Get help on Slack](http://img.shields.io/badge/slack-nf--core%20%23stableexpression-4A154B?labelColor=000000&logo=slack)](https://nfcore.slack.com/channels/stableexpression)[![Follow on Bluesky](https://img.shields.io/badge/bluesky-%40nf__core-1185fe?labelColor=000000&logo=bluesky)](https://bsky.app/profile/nf-co.re)[![Follow on Mastodon](https://img.shields.io/badge/mastodon-nf__core-6364ff?labelColor=FFFFFF&logo=mastodon)](https://mstdn.science/@nf_core)[![Watch on YouTube](http://img.shields.io/badge/youtube-nf--core-FF0000?labelColor=000000&logo=youtube)](https://www.youtube.com/c/nf-core)\n\n## Introduction\n\n**nf-core/stableexpression** is a bioinformatics pipeline aiming to aggregate multiple count datasets for a specific species and find the most stable genes. The datasets can be either downloaded from public databases (EBI, NCBI) or provided directly by the user. Both RNA-seq and Microarray count datasets can be utilised.\n\n

\n \n

\n\nIt takes as main inputs :\n\n- a species name (mandatory)\n- keywords for Expression Atlas / GEO search (optional)\n- a CSV input file listing your own raw / normalised count datasets (optional).\n\n**Use cases**:\n\n- **find the most suitable genes as RT-qPCR reference genes for a specific species (and optionally specific conditions)**\n- download all Expression Atlas and / or NCBI GEO datasets for a species (and optionally keywords)\n\n## Pipeline overview\n\nThe pipeline is built using [Nextflow](https://www.nextflow.io/) and processes data using the following steps:\n\n#### 1. Get accessions from public databases\n\n- Get [Expression Atlas](https://www.ebi.ac.uk/gxa/home) dataset accessions corresponding to the provided species (and optionally keywords)\n This step is run by default but is optional. Set `--skip_fetch_eatlas_accessions` to skip it.\n- Get NBCI [GEO](https://www.ncbi.nlm.nih.gov/gds) **microarray** dataset accessions corresponding to the provided species (and optionally keywords)\n This is optional and **NOT** run by default. Set `--fetch_geo_accessions` to run it.\n\n#### 2. Download data (see [usage](conf/usage.md#3-provide-your-own-accessions))\n\n- Download [Expression Atlas](https://www.ebi.ac.uk/gxa/home) data if any\n- Download NBCI [GEO](https://www.ncbi.nlm.nih.gov/gds) data if any\n\n> [!NOTE]\n> At this point, datasets downloaded from public databases are merged with datasets provided by the user using the `--datasets` parameter. See [usage](conf/usage.md#4-use-your-own-expression-datasets) for more information about local datasets.\n\n#### 3. ID Mapping (see [usage](conf/usage.md#5-custom-gene-id-mapping--metadata))\n\n- Gene IDs are cleaned\n- Map gene IDS to NCBI Entrez Gene IDS (or Ensembl IDs) for standardisation among datasets using [g:Profiler](https://biit.cs.ut.ee/gprofiler/gost) (run by default; optional)\n- Rare genes are filtered out\n\n#### 4. Sample filtering\n\nSamples that show too high ratios of zeros or missing values are removed from the analysis.\n\n#### 5. Normalisation of expression\n\n- Normalize RNAseq raw data using TPM (necessitates downloading the corresponding genome and computing transcript lengths) or CPM.\n- Perform quantile normalisation on each dataset separately using [scikit-learn](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html)\n\n#### 6. Merge all data\n\nAll datasets are merged into one single dataframe.\n\n#### 7. Imputation of missing values\n\nMissing values are replaced by imputed values using a specific algorithm provided by [scikit-learn](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html). The user can choose the method of imputation with the `--missing_value_imputer` parameter.\n\n#### 8. General statistics for each gene\n\nBase statistics are computed for each gene, platform-wide and for each platform (RNAseq and microarray).\n\n#### 9. Scoring\n\n- The whole list of genes is divided in multiple sections, based on their expression level.\n- Based on the coefficient of variation, a shortlist of candidates genes is extracted for each section.\n- Run optimised, scalable version of [Normfinder](https://www.moma.dk/software/normfinder)\n- Run optimised, scalable version of [Genorm](https://genomebiology.biomedcentral.com/articles/10.1186/gb-2002-3-7-research0034) (run by default; optional)\n- Compute stability scores for each candidate gene\n\n#### 10. Reporting\n\n- Result aggregation\n- Make [`MultiQC`](http://multiqc.info/) report\n- Prepare [Dash Plotly](https://dash.plotly.com/) app for further investigation of gene / sample counts\n\n## Basic usage\n\n> [!NOTE]\n> If you are new to Nextflow and nf-core, please refer to [this page](https://nf-co.re/docs/usage/installation) on how to set-up Nextflow. Make sure to [test your setup](https://nf-co.re/docs/usage/introduction#how-to-run-a-pipeline) with `-profile test` before running the workflow on actual data.\n\nTo search the most stable genes in a species considering all public datasets, simply run:\n\n```bash\nnextflow run nf-core/stableexpression \\\n -profile \\\n --species \\\n --outdir \\\n -resume\n```\n\n## More advanced usage\n\nFor more specific scenarios, like:\n\n- **fetching only specific conditions**\n- **using your own expression dataset(s)**\n\nplease refer to the [usage documentation](https://nf-co.re/stableexpression/usage).\n\n## Resource allocation\n\nFor setting pipeline CPU / memory usage, see [here](docs/configuration.md).\n\n## Profiles\n\nSee [here](https://nf-co.re/stableexpression/usage#profiles) for more information about profiles.\n\n## Pipeline output\n\nTo see the results of an example test run with a full size dataset refer to the [results](https://nf-co.re/stableexpression/results) tab on the nf-core website pipeline page.\nFor more details about the output files and reports, please refer to the\n[output documentation](https://nf-co.re/stableexpression/output).\n\n## Support us\n\nIf you like nf-core/stableexpression, please make sure you give it a star on GitHub!\n\n[![stars - stableexpression](https://img.shields.io/github/stars/nf-core/stableexpression?style=social)](https://github.com/nf-core/stableexpression)\n\n## Credits\n\nnf-core/stableexpression was originally written by Olivier Coen.\n\nWe thank the following people for their assistance in the development of this pipeline:\n\n- R\u00e9my Costa\n\n## Contributions and Support\n\nIf you would like to contribute to this pipeline, please see the [contributing guidelines](.github/CONTRIBUTING.md).\n\nFor further information or help, don't hesitate to get in touch on the [Slack `#stableexpression` channel](https://nfcore.slack.com/channels/stableexpression) (you can join with [this invite](https://nf-co.re/join/slack)).\n\n## Citations\n\n\n\n\nAn extensive list of references for the tools used by the pipeline can be found in the [`CITATIONS.md`](CITATIONS.md) file.\n\nYou can cite the `nf-core` publication as follows:\n\n> **The nf-core framework for community-curated bioinformatics pipelines.**\n>\n> Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.\n>\n> _Nat Biotechnol._ 2020 Feb 13. doi: [10.1038/s41587-020-0439-x](https://dx.doi.org/10.1038/s41587-020-0439-x).\n", + "description": "

\n \n \n \"nf-core/stableexpression\"\n \n

\n\n[![Open in GitHub Codespaces](https://img.shields.io/badge/Open_In_GitHub_Codespaces-black?labelColor=grey&logo=github)](https://github.com/codespaces/new/nf-core/stableexpression)\n[![GitHub Actions CI Status](https://github.com/nf-core/stableexpression/actions/workflows/nf-test.yml/badge.svg)](https://github.com/nf-core/stableexpression/actions/workflows/nf-test.yml)\n[![GitHub Actions Linting Status](https://github.com/nf-core/stableexpression/actions/workflows/linting.yml/badge.svg)](https://github.com/nf-core/stableexpression/actions/workflows/linting.yml)[![AWS CI](https://img.shields.io/badge/CI%20tests-full%20size-FF9900?labelColor=000000&logo=Amazon%20AWS)](https://nf-co.re/stableexpression/results)[![Cite with Zenodo](http://img.shields.io/badge/DOI-10.5281/zenodo.XXXXXXX-1073c8?labelColor=000000)](https://doi.org/10.5281/zenodo.XXXXXXX)\n[![nf-test](https://img.shields.io/badge/unit_tests-nf--test-337ab7.svg)](https://www.nf-test.com)\n\n[![Nextflow](https://img.shields.io/badge/version-%E2%89%A525.04.8-green?style=flat&logo=nextflow&logoColor=white&color=%230DC09D&link=https%3A%2F%2Fnextflow.io)](https://www.nextflow.io/)\n[![nf-core template version](https://img.shields.io/badge/nf--core_template-3.5.1-green?style=flat&logo=nfcore&logoColor=white&color=%2324B064&link=https%3A%2F%2Fnf-co.re)](https://github.com/nf-core/tools/releases/tag/3.5.1)\n[![run with apptainer](https://custom-icon-badges.demolab.com/badge/run%20with-apptainer-4545?logo=apptainer&color=teal&labelColor=000000)](https://apptainer.org/)\n[![run with conda](http://img.shields.io/badge/run%20with-conda-3EB049?labelColor=000000&logo=anaconda)](https://docs.conda.io/en/latest/)\n[![run with docker](https://img.shields.io/badge/run%20with-docker-0db7ed?labelColor=000000&logo=docker)](https://www.docker.com/)\n[![run with singularity](https://img.shields.io/badge/run%20with-singularity-1d355c.svg?labelColor=000000)](https://sylabs.io/docs/)\n[![Launch on Seqera Platform](https://img.shields.io/badge/Launch%20%F0%9F%9A%80-Seqera%20Platform-%234256e7)](https://cloud.seqera.io/launch?pipeline=https://github.com/nf-core/stableexpression)\n\n[![Get help on Slack](http://img.shields.io/badge/slack-nf--core%20%23stableexpression-4A154B?labelColor=000000&logo=slack)](https://nfcore.slack.com/channels/stableexpression)[![Follow on Bluesky](https://img.shields.io/badge/bluesky-%40nf__core-1185fe?labelColor=000000&logo=bluesky)](https://bsky.app/profile/nf-co.re)[![Follow on Mastodon](https://img.shields.io/badge/mastodon-nf__core-6364ff?labelColor=FFFFFF&logo=mastodon)](https://mstdn.science/@nf_core)[![Watch on YouTube](http://img.shields.io/badge/youtube-nf--core-FF0000?labelColor=000000&logo=youtube)](https://www.youtube.com/c/nf-core)\n\n## Introduction\n\n**nf-core/stableexpression** is a bioinformatics pipeline aiming to aggregate multiple count datasets for a specific species and find the most stable genes. The datasets can be either downloaded from public databases (EBI, NCBI) or provided directly by the user. Both RNA-seq and Microarray count datasets can be utilised.\n\n

\n \n

\n\nIt takes as main inputs :\n\n- a species name (mandatory)\n- keywords for Expression Atlas / GEO search (optional)\n- a CSV input file listing your own raw / normalised count datasets (optional).\n\n**Use cases**:\n\n- **find the most suitable genes as RT-qPCR reference genes for a specific species (and optionally specific conditions)**\n- download all Expression Atlas and / or NCBI GEO datasets for a species (and optionally keywords)\n\n## Pipeline overview\n\nThe pipeline is built using [Nextflow](https://www.nextflow.io/) and processes data using the following steps:\n\n#### 1. Get accessions from public databases\n\n- Get [Expression Atlas](https://www.ebi.ac.uk/gxa/home) dataset accessions corresponding to the provided species (and optionally keywords)\n This step is run by default but is optional. Set `--skip_fetch_eatlas_accessions` to skip it.\n- Get NBCI [GEO](https://www.ncbi.nlm.nih.gov/gds) **microarray** dataset accessions corresponding to the provided species (and optionally keywords)\n This is optional and **NOT** run by default. Set `--fetch_geo_accessions` to run it.\n\n#### 2. Download data (see [usage](./conf/usage.md#3-provide-your-own-accessions))\n\n- Download [Expression Atlas](https://www.ebi.ac.uk/gxa/home) data if any\n- Download NBCI [GEO](https://www.ncbi.nlm.nih.gov/gds) data if any\n\n> [!NOTE]\n> At this point, datasets downloaded from public databases are merged with datasets provided by the user using the `--datasets` parameter. See [usage](./conf/usage.md#4-use-your-own-expression-datasets) for more information about local datasets.\n\n#### 3. ID Mapping (see [usage](./conf/usage.md#5-custom-gene-id-mapping--metadata))\n\n- Gene IDs are cleaned\n- Map gene IDS to NCBI Entrez Gene IDS (or Ensembl IDs) for standardisation among datasets using [g:Profiler](https://biit.cs.ut.ee/gprofiler/gost) (run by default; optional)\n- Rare genes are filtered out\n\n#### 4. Sample filtering\n\nSamples that show too high ratios of zeros or missing values are removed from the analysis.\n\n#### 5. Normalisation of expression\n\n- Normalize RNAseq raw data using TPM (necessitates downloading the corresponding genome and computing transcript lengths) or CPM.\n- Perform quantile normalisation on each dataset separately using [scikit-learn](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html)\n\n#### 6. Merge all data\n\nAll datasets are merged into one single dataframe.\n\n#### 7. Imputation of missing values\n\nMissing values are replaced by imputed values using a specific algorithm provided by [scikit-learn](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html). The user can choose the method of imputation with the `--missing_value_imputer` parameter.\n\n#### 8. General statistics for each gene\n\nBase statistics are computed for each gene, platform-wide and for each platform (RNAseq and microarray).\n\n#### 9. Scoring\n\n- The whole list of genes is divided in multiple sections, based on their expression level.\n- Based on the coefficient of variation, a shortlist of candidates genes is extracted for each section.\n- Run optimised, scalable version of [Normfinder](https://www.moma.dk/software/normfinder)\n- Run optimised, scalable version of [Genorm](https://genomebiology.biomedcentral.com/articles/10.1186/gb-2002-3-7-research0034) (run by default; optional)\n- Compute stability scores for each candidate gene\n\n#### 10. Reporting\n\n- Result aggregation\n- Make [`MultiQC`](http://multiqc.info/) report\n- Prepare [Dash Plotly](https://dash.plotly.com/) app for further investigation of gene / sample counts\n\n## Basic usage\n\n> [!NOTE]\n> If you are new to Nextflow and nf-core, please refer to [this page](https://nf-co.re/docs/usage/installation) on how to set-up Nextflow. Make sure to [test your setup](https://nf-co.re/docs/usage/introduction#how-to-run-a-pipeline) with `-profile test` before running the workflow on actual data.\n\nTo search the most stable genes in a species considering all public datasets, simply run:\n\n```bash\nnextflow run nf-core/stableexpression \\\n -profile \\\n --species \\\n --outdir \\\n -resume\n```\n\n## More advanced usage\n\nFor more specific scenarios, like:\n\n- **fetching only specific conditions**\n- **using your own expression dataset(s)**\n\nplease refer to the [usage documentation](https://nf-co.re/stableexpression/usage).\n\n## Resource allocation\n\nFor setting pipeline CPU / memory usage, see [here](./docs/configuration.md).\n\n## Profiles\n\nSee [here](https://nf-co.re/stableexpression/usage#profiles) for more information about profiles.\n\n## Pipeline output\n\nTo see the results of an example test run with a full size dataset refer to the [results](https://nf-co.re/stableexpression/results) tab on the nf-core website pipeline page.\nFor more details about the output files and reports, please refer to the\n[output documentation](https://nf-co.re/stableexpression/output).\n\n## Support us\n\nIf you like nf-core/stableexpression, please make sure you give it a star on GitHub!\n\n[![stars - stableexpression](https://img.shields.io/github/stars/nf-core/stableexpression?style=social)](https://github.com/nf-core/stableexpression)\n\n## Credits\n\nnf-core/stableexpression was originally written by Olivier Coen.\n\nWe thank the following people for their assistance in the development of this pipeline:\n\n- R\u00e9my Costa\n\n## Contributions and Support\n\nIf you would like to contribute to this pipeline, please see the [contributing guidelines](.github/CONTRIBUTING.md).\n\nFor further information or help, don't hesitate to get in touch on the [Slack `#stableexpression` channel](https://nfcore.slack.com/channels/stableexpression) (you can join with [this invite](https://nf-co.re/join/slack)).\n\n## Citations\n\n\n\n\nAn extensive list of references for the tools used by the pipeline can be found in the [`CITATIONS.md`](CITATIONS.md) file.\n\nYou can cite the `nf-core` publication as follows:\n\n> **The nf-core framework for community-curated bioinformatics pipelines.**\n>\n> Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.\n>\n> _Nat Biotechnol._ 2020 Feb 13. doi: [10.1038/s41587-020-0439-x](https://dx.doi.org/10.1038/s41587-020-0439-x).\n", "hasPart": [ { "@id": "main.nf" @@ -182,7 +182,7 @@ "url": { "@id": "https://www.nextflow.io/" }, - "version": "!>=25.04.0" + "version": "!>=25.04.8" }, { "@id": "#6aa6a373-9bb0-4502-a8f4-2fce1f6296ee", @@ -343,4 +343,4 @@ "name": "Olivier Coen" } ] -} \ No newline at end of file +} From 68898d73a36de8fc0b09e0ab18f6a1aff4da38af Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Mon, 23 Mar 2026 22:55:58 +0100 Subject: [PATCH 17/41] add contributors --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 69d535fd..588fe771 100644 --- a/README.md +++ b/README.md @@ -150,6 +150,8 @@ nf-core/stableexpression was originally written by Olivier Coen. We thank the following people for their assistance in the development of this pipeline: - Rémy Costa +- Shaheen Acheche +- Janine Soares ## Contributions and Support From 32d543deb974e74bc63aefdbe59d328e2704a651 Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Mon, 23 Mar 2026 23:09:21 +0100 Subject: [PATCH 18/41] update min Nextflow version to 25.10.4 --- .github/workflows/nf-test.yml | 2 +- README.md | 2 +- nextflow.config | 2 +- ro-crate-metadata.json | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/.github/workflows/nf-test.yml b/.github/workflows/nf-test.yml index 636f03a6..3c9f1277 100644 --- a/.github/workflows/nf-test.yml +++ b/.github/workflows/nf-test.yml @@ -78,7 +78,7 @@ jobs: - isMain: false profile: "singularity" NXF_VER: - - "25.04.8" + - "25.10.4" - "latest-everything" env: NXF_ANSI_LOG: false diff --git a/README.md b/README.md index 588fe771..60441cea 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ [![GitHub Actions Linting Status](https://github.com/nf-core/stableexpression/actions/workflows/linting.yml/badge.svg)](https://github.com/nf-core/stableexpression/actions/workflows/linting.yml)[![AWS CI](https://img.shields.io/badge/CI%20tests-full%20size-FF9900?labelColor=000000&logo=Amazon%20AWS)](https://nf-co.re/stableexpression/results)[![Cite with Zenodo](http://img.shields.io/badge/DOI-10.5281/zenodo.XXXXXXX-1073c8?labelColor=000000)](https://doi.org/10.5281/zenodo.XXXXXXX) [![nf-test](https://img.shields.io/badge/unit_tests-nf--test-337ab7.svg)](https://www.nf-test.com) -[![Nextflow](https://img.shields.io/badge/version-%E2%89%A525.04.8-green?style=flat&logo=nextflow&logoColor=white&color=%230DC09D&link=https%3A%2F%2Fnextflow.io)](https://www.nextflow.io/) +[![Nextflow](https://img.shields.io/badge/version-%E2%89%A525.10.4-green?style=flat&logo=nextflow&logoColor=white&color=%230DC09D&link=https%3A%2F%2Fnextflow.io)](https://www.nextflow.io/) [![nf-core template version](https://img.shields.io/badge/nf--core_template-3.5.1-green?style=flat&logo=nfcore&logoColor=white&color=%2324B064&link=https%3A%2F%2Fnf-co.re)](https://github.com/nf-core/tools/releases/tag/3.5.1) [![run with apptainer](https://custom-icon-badges.demolab.com/badge/run%20with-apptainer-4545?logo=apptainer&color=teal&labelColor=000000)](https://apptainer.org/) [![run with conda](http://img.shields.io/badge/run%20with-conda-3EB049?labelColor=000000&logo=anaconda)](https://docs.conda.io/en/latest/) diff --git a/nextflow.config b/nextflow.config index 7537a74d..1dea2dc3 100644 --- a/nextflow.config +++ b/nextflow.config @@ -306,7 +306,7 @@ manifest { description = """This pipeline is dedicated to finding the most stable genes across count datasets""" mainScript = 'main.nf' defaultBranch = 'main' - nextflowVersion = '!>=25.04.8' + nextflowVersion = '!>=25.10.4' version = '1.0.0' doi = '' } diff --git a/ro-crate-metadata.json b/ro-crate-metadata.json index b4f79f06..32a8ecb0 100644 --- a/ro-crate-metadata.json +++ b/ro-crate-metadata.json @@ -182,7 +182,7 @@ "url": { "@id": "https://www.nextflow.io/" }, - "version": "!>=25.04.8" + "version": "!>=25.10.4" }, { "@id": "#6aa6a373-9bb0-4502-a8f4-2fce1f6296ee", From 18d41b8f7d3221350e13b0dec4a4d7e7244095d1 Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Tue, 24 Mar 2026 13:16:42 +0100 Subject: [PATCH 19/41] act possibility to run nf-test through act --- act/actions/nf-test/action.yml | 111 +++++++++++++++++++++++++++++++++ act/nf-test.yml | 49 +++++++++++++++ act/params.env | 7 +++ act/run | 10 +++ 4 files changed, 177 insertions(+) create mode 100644 act/actions/nf-test/action.yml create mode 100644 act/nf-test.yml create mode 100644 act/params.env create mode 100755 act/run diff --git a/act/actions/nf-test/action.yml b/act/actions/nf-test/action.yml new file mode 100644 index 00000000..cd37f1c0 --- /dev/null +++ b/act/actions/nf-test/action.yml @@ -0,0 +1,111 @@ +name: "nf-test Action" +description: "Runs nf-test with common setup steps" +inputs: + profile: + description: "Profile to use" + required: true + paths: + description: "Test paths" + required: true + tags: + description: "Tags to pass as argument for nf-test --tag parameter" + required: false + verbose: + description: "Enable verbose output for nf-test" + required: false + debug: + description: "Enable debug output for nf-test" + required: false +runs: + using: "composite" + steps: + - name: Setup Nextflow + uses: nf-core/setup-nextflow@v2 + with: + version: "${{ env.NXF_VERSION }}" + + - name: Set up Python + uses: actions/setup-python@e797f83bcb11b83ae66e0230d6156d7c80228e7c # v6 + with: + python-version: "3.14" + + - name: Install nf-test + uses: nf-core/setup-nf-test@v1 + with: + version: "${{ env.NFT_VER }}" + install-pdiff: true + + - name: Setup apptainer + if: contains(inputs.profile, 'singularity') + uses: eWaterCycle/setup-apptainer@main + + - name: Set up Singularity + if: contains(inputs.profile, 'singularity') + shell: bash + run: | + mkdir -p $NXF_SINGULARITY_CACHEDIR + mkdir -p $NXF_SINGULARITY_LIBRARYDIR + + - name: Conda setup + if: contains(inputs.profile, 'conda') + uses: conda-incubator/setup-miniconda@505e6394dae86d6a5c7fbb6e3fb8938e3e863830 # v3 + with: + auto-update-conda: true + conda-solver: libmamba + channels: conda-forge + channel-priority: strict + conda-remove-defaults: true + + - name: Run nf-test + shell: bash + env: + NFT_WORKDIR: ${{ env.NFT_WORKDIR }} + run: | + nf-test test \ + --profile=+${{ inputs.profile }} \ + $(if [ -n "${{ inputs.tags }}" ]; then echo "--tag ${{ inputs.tags }}"; fi) \ + $(if [ "${{ inputs.verbose }}" == "true" ]; then echo "--verbose"; fi) \ + $(if [ "${{ inputs.debug }}" == "true" ]; then echo "--debug"; fi) \ + --ci \ + --changed-since HEAD^ \ + --tap=./act/output/test.tap + + # Save the absolute path of the test.tap file to the output + echo "tap_file_path=$(realpath act/output/test.tap)" >> $GITHUB_OUTPUT + + - name: Generate test summary + if: always() + shell: bash + run: | + # Add header if it doesn't exist (using a token file to track this) + if [ ! -f "act/output/.summary_header" ]; then + echo "# 🚀 nf-test results" >> $GITHUB_STEP_SUMMARY + echo "" >> $GITHUB_STEP_SUMMARY + echo "| Status | Test Name | Profile |" >> $GITHUB_STEP_SUMMARY + echo "|:------:|-----------|---------|" >> $GITHUB_STEP_SUMMARY + touch ./act/output/.summary_header + fi + + if [ -f test.tap ]; then + while IFS= read -r line; do + if [[ $line =~ ^ok ]]; then + test_name="${line#ok }" + # Remove the test number from the beginning + test_name="${test_name#* }" + echo "| ✅ | ${test_name} | ${{ inputs.profile }} |" >> $GITHUB_STEP_SUMMARY + elif [[ $line =~ ^not\ ok ]]; then + test_name="${line#not ok }" + # Remove the test number from the beginning + test_name="${test_name#* }" + echo "| ❌ | ${test_name} | ${{ inputs.profile }} |" >> $GITHUB_STEP_SUMMARY + fi + done < test.tap + else + echo "| ⚠️ | No test results found | ${{ inputs.profile }} |" >> $GITHUB_STEP_SUMMARY + fi + + - name: Clean up + if: always() + shell: bash + run: | + sudo rm -rf /home/ubuntu/tests/ diff --git a/act/nf-test.yml b/act/nf-test.yml new file mode 100644 index 00000000..c6c981ff --- /dev/null +++ b/act/nf-test.yml @@ -0,0 +1,49 @@ +name: Run nf-test +on: + pull_request: + +env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + NFT_VER: "0.9.3" + NFT_WORKDIR: "~" + NXF_ANSI_LOG: false + NXF_SINGULARITY_CACHEDIR: ${{ github.workspace }}/.singularity + NXF_SINGULARITY_LIBRARYDIR: ${{ github.workspace }}/.singularity + +jobs: + nf-test: + name: nf-test + runs-on: local + env: + NXF_ANSI_LOG: false + + steps: + - uses: actions/checkout@93cb6efe18208431cddfb8368fd83d5badbf9bfd # v5 + with: + fetch-depth: 0 + + - name: Run nf-test + id: run_nf_test + uses: ./act/actions/nf-test + continue-on-error: ${{ matrix.NXF_VER == 'latest-everything' }} + env: + NFT_WORKDIR: ${{ env.NFT_WORKDIR }} + NXF_VERSION: ${{ env.NXF_VER }} + with: + profile: ${{ env.PROFILE }} + tags: ${{ env.TAGS }} + + - name: Report test status + if: ${{ always() }} + run: | + if [[ "${{ steps.run_nf_test.outcome }}" == "failure" ]]; then + echo "::error::Test with ${{ env.NXF_VER }} failed" + # Add to workflow summary + echo "## ❌ Test failed: ${{ env.PROFILE }} | ${{ env.NXF_VER }}" >> $GITHUB_STEP_SUMMARY + if [[ "${{ env.NXF_VER }}" == "latest-everything" ]]; then + echo "::warning::Test with latest-everything failed but will not cause workflow failure. Please check if the error is expected or if it needs fixing." + fi + if [[ "${{ env.NXF_VER }}" != "latest-everything" ]]; then + exit 1 + fi + fi diff --git a/act/params.env b/act/params.env new file mode 100644 index 00000000..4acb5207 --- /dev/null +++ b/act/params.env @@ -0,0 +1,7 @@ +PROFILE=docker +NXF_VER="25.10.4" +# provide multiple tags separated by spaces +# comment the line or leave it empty to run all tests +TAGS= +VERBOSE=false +DEBUG=false diff --git a/act/run b/act/run new file mode 100755 index 00000000..4c2462d9 --- /dev/null +++ b/act/run @@ -0,0 +1,10 @@ +#!/usr/bin/env bash + +act pull_request \ + -j nf-test \ + -s GITHUB_TOKEN="$(gh auth token)" \ + --env-file ./act/params.env \ + -W ./act/nf-test.yml \ + -P local=catthehacker/ubuntu:act-24.04 \ + --container-architecture linux/amd64 \ + --container-options "--privileged" From 35a10810ec1bedbbc86b048add14cf6bdb1788fd Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Wed, 25 Mar 2026 09:48:58 +0100 Subject: [PATCH 20/41] add pipeline test command to README.md --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/README.md b/README.md index 60441cea..4f737746 100644 --- a/README.md +++ b/README.md @@ -99,6 +99,14 @@ Base statistics are computed for each gene, platform-wide and for each platform - Make [`MultiQC`](http://multiqc.info/) report - Prepare [Dash Plotly](https://dash.plotly.com/) app for further investigation of gene / sample counts +## Test pipeline + +You can test the execution of the pipeline locally with: + +```bash +nextflow run nf-core/stableexpression -profile test, +``` + ## Basic usage > [!NOTE] From 960571dfada11441ad51d5771a34cd4847243d21 Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Wed, 25 Mar 2026 09:49:21 +0100 Subject: [PATCH 21/41] Update default.nf.test.snap --- tests/default.nf.test.snap | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/tests/default.nf.test.snap b/tests/default.nf.test.snap index d61362be..55883958 100644 --- a/tests/default.nf.test.snap +++ b/tests/default.nf.test.snap @@ -755,9 +755,9 @@ "multiqc_genes_section_1_7.txt:md5,d440bc9cce034ba82dd0d9f3387f9094", "multiqc_genes_section_1_8.txt:md5,dc1f5de798343036301a059b545a378f", "multiqc_genes_section_1_9.txt:md5,e9402e81e8c32c8a6b4015c4a55962f0", - "multiqc_geo_all_experiments_metadata.txt:md5,2be2c1cfe9b180a59917b18f6dacdbcb", + "multiqc_geo_all_experiments_metadata.txt:md5,ea55376b4ab9e0edaa324b8b261dae22", "multiqc_geo_rejected_experiments_metadata.txt:md5,d6252a5d3c78d577293853c911e32f69", - "multiqc_geo_selected_experiments_metadata.txt:md5,a1bad9ef798e84193b10e367312f9fc0", + "multiqc_geo_selected_experiments_metadata.txt:md5,7635ba27ea2acce2c9517ed3c1d77ebb", "multiqc_geo_warning_reasons.txt:md5,2b53d4be74728c504752515f74c58fd2", "multiqc_id_mapping_stats.txt:md5,f03d4786d088307ad756b9661fd61ede", "multiqc_normalised_expr_distrib_section_1.txt:md5,fe7c9f8eff636a38deee18a05e17ed4d", @@ -795,9 +795,9 @@ "E_MTAB_8187_rnaseq.design.csv:md5,fbd18d011d7d855452e5a30a303afcbf", "E_MTAB_8187_rnaseq.rnaseq.raw.counts.csv:md5,fe221fd94f66df7120b0590091e14eb1", "accessions.txt:md5,a850f625a78be7b4b10ce08a5b638e23", - "geo_all_datasets.metadata.tsv:md5,54d02cbc207a6622ddd53f707834facc", + "geo_all_datasets.metadata.tsv:md5,7fd4e7b26f1348f86e97aa16f3fd40c0", "geo_rejected_datasets.metadata.tsv:md5,4b4908f7ae40b84a1ac1bd5addfc8dd2", - "geo_selected_datasets.metadata.tsv:md5,6057162d44b4f2edfb006e39016e44dd", + "geo_selected_datasets.metadata.tsv:md5,62bdb8eb0e87155d149020e65d110e80", "GSE55951_GPL18429.microarray.normalised.counts.csv:md5,18fd2d728ad2ec5cb78f994f73375144", "GSE55951_GPL18429.microarray.normalised.design.csv:md5,f4872dff0edbe441d1600ffe2b67a25d", "GSE135555_suppl.rnaseq.raw.counts.csv:md5,b34bde25ea5d508a1670ce4264073df1", @@ -819,7 +819,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-22T22:14:10.408145508" + "timestamp": "2026-03-24T13:28:16.078143925" }, "-profile test_included_and_excluded_accessions": { "content": [ From 5cfd8bc8db4ae6c260c2481b2d145e146085dbda Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Sun, 29 Mar 2026 14:02:03 +0200 Subject: [PATCH 22/41] add act tests --- tests/act/actions/nf-test/action.yml | 111 +++++++++++++++++++++++++++ tests/act/nf-test.yml | 49 ++++++++++++ tests/act/params.env | 7 ++ tests/act/run | 15 ++++ 4 files changed, 182 insertions(+) create mode 100644 tests/act/actions/nf-test/action.yml create mode 100644 tests/act/nf-test.yml create mode 100644 tests/act/params.env create mode 100755 tests/act/run diff --git a/tests/act/actions/nf-test/action.yml b/tests/act/actions/nf-test/action.yml new file mode 100644 index 00000000..cd37f1c0 --- /dev/null +++ b/tests/act/actions/nf-test/action.yml @@ -0,0 +1,111 @@ +name: "nf-test Action" +description: "Runs nf-test with common setup steps" +inputs: + profile: + description: "Profile to use" + required: true + paths: + description: "Test paths" + required: true + tags: + description: "Tags to pass as argument for nf-test --tag parameter" + required: false + verbose: + description: "Enable verbose output for nf-test" + required: false + debug: + description: "Enable debug output for nf-test" + required: false +runs: + using: "composite" + steps: + - name: Setup Nextflow + uses: nf-core/setup-nextflow@v2 + with: + version: "${{ env.NXF_VERSION }}" + + - name: Set up Python + uses: actions/setup-python@e797f83bcb11b83ae66e0230d6156d7c80228e7c # v6 + with: + python-version: "3.14" + + - name: Install nf-test + uses: nf-core/setup-nf-test@v1 + with: + version: "${{ env.NFT_VER }}" + install-pdiff: true + + - name: Setup apptainer + if: contains(inputs.profile, 'singularity') + uses: eWaterCycle/setup-apptainer@main + + - name: Set up Singularity + if: contains(inputs.profile, 'singularity') + shell: bash + run: | + mkdir -p $NXF_SINGULARITY_CACHEDIR + mkdir -p $NXF_SINGULARITY_LIBRARYDIR + + - name: Conda setup + if: contains(inputs.profile, 'conda') + uses: conda-incubator/setup-miniconda@505e6394dae86d6a5c7fbb6e3fb8938e3e863830 # v3 + with: + auto-update-conda: true + conda-solver: libmamba + channels: conda-forge + channel-priority: strict + conda-remove-defaults: true + + - name: Run nf-test + shell: bash + env: + NFT_WORKDIR: ${{ env.NFT_WORKDIR }} + run: | + nf-test test \ + --profile=+${{ inputs.profile }} \ + $(if [ -n "${{ inputs.tags }}" ]; then echo "--tag ${{ inputs.tags }}"; fi) \ + $(if [ "${{ inputs.verbose }}" == "true" ]; then echo "--verbose"; fi) \ + $(if [ "${{ inputs.debug }}" == "true" ]; then echo "--debug"; fi) \ + --ci \ + --changed-since HEAD^ \ + --tap=./act/output/test.tap + + # Save the absolute path of the test.tap file to the output + echo "tap_file_path=$(realpath act/output/test.tap)" >> $GITHUB_OUTPUT + + - name: Generate test summary + if: always() + shell: bash + run: | + # Add header if it doesn't exist (using a token file to track this) + if [ ! -f "act/output/.summary_header" ]; then + echo "# 🚀 nf-test results" >> $GITHUB_STEP_SUMMARY + echo "" >> $GITHUB_STEP_SUMMARY + echo "| Status | Test Name | Profile |" >> $GITHUB_STEP_SUMMARY + echo "|:------:|-----------|---------|" >> $GITHUB_STEP_SUMMARY + touch ./act/output/.summary_header + fi + + if [ -f test.tap ]; then + while IFS= read -r line; do + if [[ $line =~ ^ok ]]; then + test_name="${line#ok }" + # Remove the test number from the beginning + test_name="${test_name#* }" + echo "| ✅ | ${test_name} | ${{ inputs.profile }} |" >> $GITHUB_STEP_SUMMARY + elif [[ $line =~ ^not\ ok ]]; then + test_name="${line#not ok }" + # Remove the test number from the beginning + test_name="${test_name#* }" + echo "| ❌ | ${test_name} | ${{ inputs.profile }} |" >> $GITHUB_STEP_SUMMARY + fi + done < test.tap + else + echo "| ⚠️ | No test results found | ${{ inputs.profile }} |" >> $GITHUB_STEP_SUMMARY + fi + + - name: Clean up + if: always() + shell: bash + run: | + sudo rm -rf /home/ubuntu/tests/ diff --git a/tests/act/nf-test.yml b/tests/act/nf-test.yml new file mode 100644 index 00000000..fea4fb92 --- /dev/null +++ b/tests/act/nf-test.yml @@ -0,0 +1,49 @@ +name: Run nf-test +on: + pull_request: + +env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + NFT_VER: "0.9.3" + NFT_WORKDIR: "~" + NXF_ANSI_LOG: false + NXF_SINGULARITY_CACHEDIR: ${{ github.workspace }}/.singularity + NXF_SINGULARITY_LIBRARYDIR: ${{ github.workspace }}/.singularity + +jobs: + nf-test: + name: nf-test + runs-on: local + env: + NXF_ANSI_LOG: false + + steps: + - uses: actions/checkout@93cb6efe18208431cddfb8368fd83d5badbf9bfd # v5 + with: + fetch-depth: 0 + + - name: Run nf-test + id: run_nf_test + uses: ./tests/act/actions/nf-test + continue-on-error: ${{ matrix.NXF_VER == 'latest-everything' }} + env: + NFT_WORKDIR: ${{ env.NFT_WORKDIR }} + NXF_VERSION: ${{ env.NXF_VER }} + with: + profile: ${{ env.PROFILE }} + tags: ${{ env.TAGS }} + + - name: Report test status + if: ${{ always() }} + run: | + if [[ "${{ steps.run_nf_test.outcome }}" == "failure" ]]; then + echo "::error::Test with ${{ env.NXF_VER }} failed" + # Add to workflow summary + echo "## ❌ Test failed: ${{ env.PROFILE }} | ${{ env.NXF_VER }}" >> $GITHUB_STEP_SUMMARY + if [[ "${{ env.NXF_VER }}" == "latest-everything" ]]; then + echo "::warning::Test with latest-everything failed but will not cause workflow failure. Please check if the error is expected or if it needs fixing." + fi + if [[ "${{ env.NXF_VER }}" != "latest-everything" ]]; then + exit 1 + fi + fi diff --git a/tests/act/params.env b/tests/act/params.env new file mode 100644 index 00000000..fc60522b --- /dev/null +++ b/tests/act/params.env @@ -0,0 +1,7 @@ +PROFILE=docker +NXF_VER="25.04.0" +# provide multiple tags separated by spaces +# comment the line or leave it empty to run all tests +TAGS= +VERBOSE=false +DEBUG=false diff --git a/tests/act/run b/tests/act/run new file mode 100755 index 00000000..7127d3e4 --- /dev/null +++ b/tests/act/run @@ -0,0 +1,15 @@ +#!/usr/bin/env bash + +act_folder=$(dirname "$(realpath $0)") +root_folder=$(dirname $(dirname "${act_folder}")) + +act pull_request \ + --job nf-test \ + --secret GITHUB_TOKEN="$(gh auth token)" \ + --directory "${root_folder}" \ + --env-file "${act_folder}/params.env" \ + --env ACT_FOLDER="${act_folder}" \ + --workflows "${act_folder}/nf-test.yml" \ + --platform local=catthehacker/ubuntu:act-24.04 \ + --container-architecture linux/amd64 \ + --container-options "--privileged -u $(id -u):$(id -g)" From b989a35c45e8bc0778ce607b2231ba214d6cf08e Mon Sep 17 00:00:00 2001 From: Olivier Coen Date: Sun, 29 Mar 2026 14:03:07 +0200 Subject: [PATCH 23/41] fix tests --- .github/actions/nf-test/action.yml | 10 +- .github/workflows/nf-test.yml | 11 +- act/actions/nf-test/action.yml | 111 -------- act/nf-test.yml | 49 ---- act/params.env | 7 - act/run | 10 - ...ltiqc_config.custom_content.template.yaml} | 0 bin/compute_dataset_statistics.py | 5 +- bin/compute_gene_statistics.py | 8 +- conf/base.config | 2 +- modules/local/clean_gene_ids/environment.yml | 4 +- modules/local/clean_gene_ids/main.nf | 4 +- .../environment.yml | 4 +- .../local/compute_dataset_statistics/main.nf | 4 +- .../dash_app/app/src/components/icons.py | 4 - .../dash_app/app/src/components/stores.py | 5 - modules/nf-core/multiqc/main.nf | 1 + subworkflows/local/reporting/main.nf | 2 +- tests/.nftignore | 2 + tests/act/params.env | 2 +- tests/default.nf.test.snap | 246 +++--------------- .../main.nf.test.snap | 8 +- .../expressionatlas/getdata/main.nf.test.snap | 2 +- 23 files changed, 86 insertions(+), 415 deletions(-) delete mode 100644 act/actions/nf-test/action.yml delete mode 100644 act/nf-test.yml delete mode 100644 act/params.env delete mode 100755 act/run rename assets/{custom_content_multiqc_config.template.yaml => multiqc_config.custom_content.template.yaml} (100%) diff --git a/.github/actions/nf-test/action.yml b/.github/actions/nf-test/action.yml index 3b9724c7..513f71f1 100644 --- a/.github/actions/nf-test/action.yml +++ b/.github/actions/nf-test/action.yml @@ -68,7 +68,7 @@ runs: --changed-since HEAD^ \ --verbose \ --tap=test.tap \ - --shard ${{ inputs.shard }}/${{ inputs.total_shards }} + --shard ${{ inputs.shard }}/${{ inputs.total_shards }} --debug # Save the absolute path of the test.tap file to the output echo "tap_file_path=$(realpath test.tap)" >> $GITHUB_OUTPUT @@ -104,6 +104,14 @@ runs: echo "| ⚠️ | No test results found | ${{ inputs.profile }} | ${{ inputs.shard }}/${{ inputs.total_shards }} |" >> $GITHUB_STEP_SUMMARY fi + - name: Check files + if: always() + shell: bash + run: | + for file in $(find .nf-test -name "skewness.txt"); do + echo "$file" && cat $file + done + - name: Clean up if: always() shell: bash diff --git a/.github/workflows/nf-test.yml b/.github/workflows/nf-test.yml index 3c9f1277..bf59d7cc 100644 --- a/.github/workflows/nf-test.yml +++ b/.github/workflows/nf-test.yml @@ -1,5 +1,6 @@ name: Run nf-test on: + push: pull_request: paths-ignore: - "docs/**" @@ -72,11 +73,11 @@ jobs: isMain: - ${{ github.base_ref == 'master' || github.base_ref == 'main' }} # Exclude conda and singularity on dev - exclude: - - isMain: false - profile: "conda" - - isMain: false - profile: "singularity" + #exclude: + # - isMain: false + # profile: "conda" + # - isMain: false + # profile: "singularity" NXF_VER: - "25.10.4" - "latest-everything" diff --git a/act/actions/nf-test/action.yml b/act/actions/nf-test/action.yml deleted file mode 100644 index cd37f1c0..00000000 --- a/act/actions/nf-test/action.yml +++ /dev/null @@ -1,111 +0,0 @@ -name: "nf-test Action" -description: "Runs nf-test with common setup steps" -inputs: - profile: - description: "Profile to use" - required: true - paths: - description: "Test paths" - required: true - tags: - description: "Tags to pass as argument for nf-test --tag parameter" - required: false - verbose: - description: "Enable verbose output for nf-test" - required: false - debug: - description: "Enable debug output for nf-test" - required: false -runs: - using: "composite" - steps: - - name: Setup Nextflow - uses: nf-core/setup-nextflow@v2 - with: - version: "${{ env.NXF_VERSION }}" - - - name: Set up Python - uses: actions/setup-python@e797f83bcb11b83ae66e0230d6156d7c80228e7c # v6 - with: - python-version: "3.14" - - - name: Install nf-test - uses: nf-core/setup-nf-test@v1 - with: - version: "${{ env.NFT_VER }}" - install-pdiff: true - - - name: Setup apptainer - if: contains(inputs.profile, 'singularity') - uses: eWaterCycle/setup-apptainer@main - - - name: Set up Singularity - if: contains(inputs.profile, 'singularity') - shell: bash - run: | - mkdir -p $NXF_SINGULARITY_CACHEDIR - mkdir -p $NXF_SINGULARITY_LIBRARYDIR - - - name: Conda setup - if: contains(inputs.profile, 'conda') - uses: conda-incubator/setup-miniconda@505e6394dae86d6a5c7fbb6e3fb8938e3e863830 # v3 - with: - auto-update-conda: true - conda-solver: libmamba - channels: conda-forge - channel-priority: strict - conda-remove-defaults: true - - - name: Run nf-test - shell: bash - env: - NFT_WORKDIR: ${{ env.NFT_WORKDIR }} - run: | - nf-test test \ - --profile=+${{ inputs.profile }} \ - $(if [ -n "${{ inputs.tags }}" ]; then echo "--tag ${{ inputs.tags }}"; fi) \ - $(if [ "${{ inputs.verbose }}" == "true" ]; then echo "--verbose"; fi) \ - $(if [ "${{ inputs.debug }}" == "true" ]; then echo "--debug"; fi) \ - --ci \ - --changed-since HEAD^ \ - --tap=./act/output/test.tap - - # Save the absolute path of the test.tap file to the output - echo "tap_file_path=$(realpath act/output/test.tap)" >> $GITHUB_OUTPUT - - - name: Generate test summary - if: always() - shell: bash - run: | - # Add header if it doesn't exist (using a token file to track this) - if [ ! -f "act/output/.summary_header" ]; then - echo "# 🚀 nf-test results" >> $GITHUB_STEP_SUMMARY - echo "" >> $GITHUB_STEP_SUMMARY - echo "| Status | Test Name | Profile |" >> $GITHUB_STEP_SUMMARY - echo "|:------:|-----------|---------|" >> $GITHUB_STEP_SUMMARY - touch ./act/output/.summary_header - fi - - if [ -f test.tap ]; then - while IFS= read -r line; do - if [[ $line =~ ^ok ]]; then - test_name="${line#ok }" - # Remove the test number from the beginning - test_name="${test_name#* }" - echo "| ✅ | ${test_name} | ${{ inputs.profile }} |" >> $GITHUB_STEP_SUMMARY - elif [[ $line =~ ^not\ ok ]]; then - test_name="${line#not ok }" - # Remove the test number from the beginning - test_name="${test_name#* }" - echo "| ❌ | ${test_name} | ${{ inputs.profile }} |" >> $GITHUB_STEP_SUMMARY - fi - done < test.tap - else - echo "| ⚠️ | No test results found | ${{ inputs.profile }} |" >> $GITHUB_STEP_SUMMARY - fi - - - name: Clean up - if: always() - shell: bash - run: | - sudo rm -rf /home/ubuntu/tests/ diff --git a/act/nf-test.yml b/act/nf-test.yml deleted file mode 100644 index c6c981ff..00000000 --- a/act/nf-test.yml +++ /dev/null @@ -1,49 +0,0 @@ -name: Run nf-test -on: - pull_request: - -env: - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - NFT_VER: "0.9.3" - NFT_WORKDIR: "~" - NXF_ANSI_LOG: false - NXF_SINGULARITY_CACHEDIR: ${{ github.workspace }}/.singularity - NXF_SINGULARITY_LIBRARYDIR: ${{ github.workspace }}/.singularity - -jobs: - nf-test: - name: nf-test - runs-on: local - env: - NXF_ANSI_LOG: false - - steps: - - uses: actions/checkout@93cb6efe18208431cddfb8368fd83d5badbf9bfd # v5 - with: - fetch-depth: 0 - - - name: Run nf-test - id: run_nf_test - uses: ./act/actions/nf-test - continue-on-error: ${{ matrix.NXF_VER == 'latest-everything' }} - env: - NFT_WORKDIR: ${{ env.NFT_WORKDIR }} - NXF_VERSION: ${{ env.NXF_VER }} - with: - profile: ${{ env.PROFILE }} - tags: ${{ env.TAGS }} - - - name: Report test status - if: ${{ always() }} - run: | - if [[ "${{ steps.run_nf_test.outcome }}" == "failure" ]]; then - echo "::error::Test with ${{ env.NXF_VER }} failed" - # Add to workflow summary - echo "## ❌ Test failed: ${{ env.PROFILE }} | ${{ env.NXF_VER }}" >> $GITHUB_STEP_SUMMARY - if [[ "${{ env.NXF_VER }}" == "latest-everything" ]]; then - echo "::warning::Test with latest-everything failed but will not cause workflow failure. Please check if the error is expected or if it needs fixing." - fi - if [[ "${{ env.NXF_VER }}" != "latest-everything" ]]; then - exit 1 - fi - fi diff --git a/act/params.env b/act/params.env deleted file mode 100644 index 4acb5207..00000000 --- a/act/params.env +++ /dev/null @@ -1,7 +0,0 @@ -PROFILE=docker -NXF_VER="25.10.4" -# provide multiple tags separated by spaces -# comment the line or leave it empty to run all tests -TAGS= -VERBOSE=false -DEBUG=false diff --git a/act/run b/act/run deleted file mode 100755 index 4c2462d9..00000000 --- a/act/run +++ /dev/null @@ -1,10 +0,0 @@ -#!/usr/bin/env bash - -act pull_request \ - -j nf-test \ - -s GITHUB_TOKEN="$(gh auth token)" \ - --env-file ./act/params.env \ - -W ./act/nf-test.yml \ - -P local=catthehacker/ubuntu:act-24.04 \ - --container-architecture linux/amd64 \ - --container-options "--privileged" diff --git a/assets/custom_content_multiqc_config.template.yaml b/assets/multiqc_config.custom_content.template.yaml similarity index 100% rename from assets/custom_content_multiqc_config.template.yaml rename to assets/multiqc_config.custom_content.template.yaml diff --git a/bin/compute_dataset_statistics.py b/bin/compute_dataset_statistics.py index 43164e61..77eb3a21 100755 --- a/bin/compute_dataset_statistics.py +++ b/bin/compute_dataset_statistics.py @@ -14,6 +14,7 @@ logger = logging.getLogger(__name__) KEY_TO_OUTFILE = {"skewness": "skewness.txt"} +FLOAT_PRECISION = 6 ##################################################### @@ -47,7 +48,9 @@ def export_count_data(stats: dict): for key, outfile_name in KEY_TO_OUTFILE.items(): logger.info(f"Exporting dataset statistics {key} to: {outfile_name}") with open(outfile_name, "w") as outfile: - outfile.write(",".join([str(val) for val in stats[key]])) + outfile.write( + ",".join([f"{val:.{FLOAT_PRECISION}f}" for val in stats[key]]) + ) ##################################################### diff --git a/bin/compute_gene_statistics.py b/bin/compute_gene_statistics.py index 4b9dd630..ec250cf7 100755 --- a/bin/compute_gene_statistics.py +++ b/bin/compute_gene_statistics.py @@ -130,9 +130,11 @@ def compute_ratios_null_values( # the samples showing a low gene count will not be taken into account for the zero count penalty nb_nulls = df.select(pl.exclude(config.GENE_ID_COLNAME).is_null()).sum_horizontal() - if valid_samples: + found_valid_samples = [sample for sample in valid_samples if sample in df.columns] + + if found_valid_samples: nb_nulls_valid_samples = df.select( - pl.col(valid_samples).is_null() + pl.col(found_valid_samples).is_null() ).sum_horizontal() else: nb_nulls_valid_samples = nb_nulls @@ -143,7 +145,7 @@ def compute_ratios_null_values( (nb_nulls / nb_samples).alias( get_colname(config.RATIO_NULLS_COLNAME, platform) ), - (nb_nulls_valid_samples / len(valid_samples)).alias( + (nb_nulls_valid_samples / len(found_valid_samples)).alias( get_colname(config.RATIO_NULLS_VALID_SAMPLES_COLNAME, platform) ), ) diff --git a/conf/base.config b/conf/base.config index 340149ca..080f1fe9 100644 --- a/conf/base.config +++ b/conf/base.config @@ -37,7 +37,7 @@ process { sleep(Math.pow(2, task.attempt) * 200 as long) 'retry' } else { // after 3 retries, ignore the error - 'ignore' + 'terminate' } } maxRetries = 10 diff --git a/modules/local/clean_gene_ids/environment.yml b/modules/local/clean_gene_ids/environment.yml index 45a97ad0..df720d08 100644 --- a/modules/local/clean_gene_ids/environment.yml +++ b/modules/local/clean_gene_ids/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.14.3 - - conda-forge::polars==1.39.2 + - conda-forge::python=3.12.8 + - conda-forge::polars==1.37.1 diff --git a/modules/local/clean_gene_ids/main.nf b/modules/local/clean_gene_ids/main.nf index 666de1fa..6165ab07 100644 --- a/modules/local/clean_gene_ids/main.nf +++ b/modules/local/clean_gene_ids/main.nf @@ -6,8 +6,8 @@ process CLEAN_GENE_IDS { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': - 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/87/878943dcc1b8e30cd535a41886e0f75fcd8bbe667b2d2b0bc4adb0c549539e64/data': + 'community.wave.seqera.io/library/polars_python:07cce0ec1b0aeb84' }" input: tuple val(meta), path(count_file) diff --git a/modules/local/compute_dataset_statistics/environment.yml b/modules/local/compute_dataset_statistics/environment.yml index 45a97ad0..df720d08 100644 --- a/modules/local/compute_dataset_statistics/environment.yml +++ b/modules/local/compute_dataset_statistics/environment.yml @@ -4,5 +4,5 @@ channels: - conda-forge - bioconda dependencies: - - conda-forge::python=3.14.3 - - conda-forge::polars==1.39.2 + - conda-forge::python=3.12.8 + - conda-forge::polars==1.37.1 diff --git a/modules/local/compute_dataset_statistics/main.nf b/modules/local/compute_dataset_statistics/main.nf index e93e000b..7a97e31c 100644 --- a/modules/local/compute_dataset_statistics/main.nf +++ b/modules/local/compute_dataset_statistics/main.nf @@ -6,8 +6,8 @@ process COMPUTE_DATASET_STATISTICS { conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine in ['singularity', 'apptainer'] && !task.ext.singularity_pull_docker_container ? - 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/00/00f1434368763cebf37466cfaaaf069f971f7eae65b010169975c50d084e5af3/data': - 'community.wave.seqera.io/library/polars_python:1a4a3322c56bfeb9' }" + 'https://community-cr-prod.seqera.io/docker/registry/v2/blobs/sha256/87/878943dcc1b8e30cd535a41886e0f75fcd8bbe667b2d2b0bc4adb0c549539e64/data': + 'community.wave.seqera.io/library/polars_python:07cce0ec1b0aeb84' }" input: tuple val(meta), path(count_file) diff --git a/modules/local/dash_app/app/src/components/icons.py b/modules/local/dash_app/app/src/components/icons.py index 2ac16c1c..6801d88b 100755 --- a/modules/local/dash_app/app/src/components/icons.py +++ b/modules/local/dash_app/app/src/components/icons.py @@ -2,10 +2,6 @@ # all dash-iconify icons can be found at # https://icon-sets.iconify.design/ - # --------------- SIDEBAR --------------------- - - magnifying_glass_icon = DashIconify(icon="radix-icons:magnifying-glass") - data_loaded_icon = DashIconify(icon="akar-icons:circle-check", color="white", width=30) diff --git a/modules/local/dash_app/app/src/components/stores.py b/modules/local/dash_app/app/src/components/stores.py index 1e6a1479..ee748532 100755 --- a/modules/local/dash_app/app/src/components/stores.py +++ b/modules/local/dash_app/app/src/components/stores.py @@ -3,12 +3,7 @@ selected_samples = dcc.Store("selected-sample", storage_type="session") gene_counts = dcc.Store(id="gene-counts", storage_type="session", data={}) sample_counts = dcc.Store(id="sample-counts", storage_type="session", data={}) -# filtered_sample_counts = dcc.Store(id='filtered-sample-counts', storage_type='memory', data={}) - - stores_to_load = [ - # selected_samples, gene_counts, sample_counts, - # filtered_sample_counts ] diff --git a/modules/nf-core/multiqc/main.nf b/modules/nf-core/multiqc/main.nf index 3b0e975b..e73590cc 100644 --- a/modules/nf-core/multiqc/main.nf +++ b/modules/nf-core/multiqc/main.nf @@ -1,5 +1,6 @@ process MULTIQC { label 'process_single' + debug true conda "${moduleDir}/environment.yml" container "${ workflow.containerEngine == 'singularity' && !task.ext.singularity_pull_docker_container ? diff --git a/subworkflows/local/reporting/main.nf b/subworkflows/local/reporting/main.nf index 2a73d43d..f03b5df0 100644 --- a/subworkflows/local/reporting/main.nf +++ b/subworkflows/local/reporting/main.nf @@ -49,7 +49,7 @@ workflow REPORTING { .toSortedList() ch_custom_content_multiqc_config_template = channel.fromPath( - "${projectDir}/assets/custom_content_multiqc_config.template.yaml", + "${projectDir}/assets/multiqc_config.custom_content.template.yaml", checkIfExists: true ) diff --git a/tests/.nftignore b/tests/.nftignore index 83f7a0a5..ee867b7f 100644 --- a/tests/.nftignore +++ b/tests/.nftignore @@ -8,3 +8,5 @@ multiqc/multiqc_data/llms-full.txt multiqc/multiqc_plots/{svg,pdf,png}/*.{svg,pdf,png} multiqc/multiqc_report.html pipeline_info/*.{html,json,txt,yml} +**.py +**.parquet diff --git a/tests/act/params.env b/tests/act/params.env index fc60522b..4acb5207 100644 --- a/tests/act/params.env +++ b/tests/act/params.env @@ -1,5 +1,5 @@ PROFILE=docker -NXF_VER="25.04.0" +NXF_VER="25.10.4" # provide multiple tags separated by spaces # comment the line or leave it empty to run all tests TAGS= diff --git a/tests/default.nf.test.snap b/tests/default.nf.test.snap index 55883958..8ae2d353 100644 --- a/tests/default.nf.test.snap +++ b/tests/default.nf.test.snap @@ -8,8 +8,8 @@ "pyyaml": "6.0.3" }, "CLEAN_GENE_IDS": { - "polars": "1.39.2", - "python": "3.14.3" + "polars": "1.37.1", + "python": "3.12.8" }, "COLLECT_ALL_GENE_IDS": { "python": "3.14.2", @@ -51,8 +51,8 @@ "scipy": "1.17.1" }, "DESCRIPTIVE_STATISTICS": { - "polars": "1.39.2", - "python": "3.14.3" + "polars": "1.37.1", + "python": "3.12.8" }, "DETECT_RARE_GENES": { "polars": "1.39.2", @@ -350,34 +350,16 @@ "section_8.most_stable_genes_transposed_counts.csv:md5,35e02009d4aff77f0fca02711a8ad058", "section_9.most_stable_genes_summary.csv:md5,0e7776950594471fc8dfb914eed0a17a", "section_9.most_stable_genes_transposed_counts.csv:md5,e102dcbb3bdcec1bd724adbd772655d1", - "app.py:md5,bb43a37542f3525925e68e41f26b3eb3", "style.css:md5,e6ba182eaf06980dbda49920efbf6e64", - "all_counts.imputed.parquet:md5,8c7a5a2bc367bc483c78c250abd8a06f", "all_genes_summary.csv:md5,67694aeb7cb1bec8e31a604fa5350783", "whole_design.csv:md5,f29515bc2c783e593fb9028127342593", "environment.yml:md5,dd081780e1f98d34b13289d019f8bb5b", - "common.py:md5,2579b1cf40bc1f19bf4d6cf9e7ee3261", - "genes.py:md5,680cb5f4e107a3b091821917d72a555c", - "samples.py:md5,ebe1620fd6a7280933c6e82f05b04820", - "graphs.py:md5,acdc8511cfcd2ea77ba7a90c3250fd17", - "icons.py:md5,3e66bae5ceca3dfbd190d88db0dc0828", - "right_sidebar.py:md5,7d062dd7b7b891ea04275a03eca49f8e", - "genes.py:md5,bf00a35192a594861a809a0fdfd73fc3", - "samples.py:md5,1d145b9c85f61ab340857e87a728bc54", - "stores.py:md5,6e829f7950f09c7c9b10568de41baca2", - "tables.py:md5,0cc5a469719e67a3b6ae0d11cd35cc66", - "tooltips.py:md5,3f6e77c5bc52d3ae8b64420c50f5daa1", - "top.py:md5,fb907f3f053a0973df8c7a4c8151baf3", - "config.py:md5,26c75ba54e5c636b291dc8d2bd685004", - "data_management.py:md5,6a4a5268f808fe198a4a6e4b6d06c5f3", - "style.py:md5,5dc95d725903350537940a41cae355dd", "Mus_musculus.GRCm39.115.chr.gff3.gz:md5,66a5d70eeb2ce9685ca871fc7b0f4f96", "gene_transcript_lengths.csv:md5,09e2d2a8881df9aa96ee71802e9c3451", "global_gene_id_mapping.csv:md5,78934d2ac5fe7d863f114c5703f57a06", "global_gene_metadata.csv:md5,bd76860b422e45eca7cd583212a977d2", "gene_metadata.csv:md5,bd76860b422e45eca7cd583212a977d2", "mapped_gene_ids.csv:md5,78934d2ac5fe7d863f114c5703f57a06", - "SRP254919.salmon.merged.gene_counts.top1000cov.assay.cleaned.renamed.parquet:md5,5e1319b58bb414274a47661fd46eb681", "whole_design.csv:md5,f29515bc2c783e593fb9028127342593", "multiqc_citations.txt:md5,4c806e63a283ec1b7e78cdae3a923d4f", "multiqc_gene_statistics.txt:md5,9285ae2cfc531a0987e3172be0aa6483", @@ -426,17 +408,15 @@ "multiqc_ratio_nulls.txt:md5,7063b06cadcf854671bc9cefb51a6fe3", "multiqc_ratio_zeros.txt:md5,7063b06cadcf854671bc9cefb51a6fe3", "multiqc_renaming_warning_reasons.txt:md5,6e3001e79809e518b23efc517fc5bc67", - "multiqc_skewness.txt:md5,8e46fd80b0c2d1785775571e74ab7994", + "multiqc_skewness.txt:md5,552473ba350fdb4ff40b745bb583e6d7", "multiqc_total_gene_id_occurrence_quantiles.txt:md5,ca154d649786ea5336e7c9e980f00eac", "multiqc_zero_values_filter.txt:md5,64ca3e3acc613e1b85733fd847712a37", - "SRP254919.salmon.merged.gene_counts.top1000cov.assay.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet:md5,9fe0de399237e89cc8e4df6fa775d4b0", - "SRP254919.salmon.merged.gene_counts.top1000cov.assay.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.parquet:md5,da24ac8d0594e03926d4a0a698bf2c7f", "id_mapping_stats.csv:md5,b47d6ebd34e3fb11a40665b0a38db3da", "missing_values_filter_stats.csv:md5,310182ec872cf37ffb81370dfcd01207", "ratio_nulls.csv:md5,2272ebcf58ac8bb283d238f87d508b96", "ratio_nulls_per_sample.csv:md5,375371c6d3e58ae69430f0e96b71920d", "ratio_zeros.csv:md5,2272ebcf58ac8bb283d238f87d508b96", - "skewness.csv:md5,a002bba76a07fcb14897928cb6ee8412", + "skewness.csv:md5,3c3f6f6984a29e5a6679650e1da0816e", "zero_values_filter_stats.csv:md5,310182ec872cf37ffb81370dfcd01207", "renaming_warning_reasons.tsv:md5,0a11a59b5b547a39ab7a0e4dac622173" ] @@ -445,7 +425,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-21T12:21:53.030465877" + "timestamp": "2026-03-29T14:17:04.976060321" }, "-profile test_fetch_geo": { "content": [ @@ -701,35 +681,16 @@ "section_8.most_stable_genes_transposed_counts.csv:md5,0bfb8031fc91115a61a57113a6df5c4d", "section_9.most_stable_genes_summary.csv:md5,7178bb75b1733f71d0aeba2a09750b3b", "section_9.most_stable_genes_transposed_counts.csv:md5,b02e0d31ed2c0fa925060893062c07a7", - "app.py:md5,bb43a37542f3525925e68e41f26b3eb3", "style.css:md5,e6ba182eaf06980dbda49920efbf6e64", - "all_counts.imputed.parquet:md5,1f732d695fb191f4c87b065aec34138e", "all_genes_summary.csv:md5,75d3db24909c578bbc764585cc25bde3", "whole_design.csv:md5,fbd18d011d7d855452e5a30a303afcbf", "environment.yml:md5,dd081780e1f98d34b13289d019f8bb5b", - "common.py:md5,2579b1cf40bc1f19bf4d6cf9e7ee3261", - "genes.py:md5,680cb5f4e107a3b091821917d72a555c", - "samples.py:md5,ebe1620fd6a7280933c6e82f05b04820", - "graphs.py:md5,acdc8511cfcd2ea77ba7a90c3250fd17", - "icons.py:md5,3e66bae5ceca3dfbd190d88db0dc0828", - "right_sidebar.py:md5,7d062dd7b7b891ea04275a03eca49f8e", - "genes.py:md5,bf00a35192a594861a809a0fdfd73fc3", - "samples.py:md5,1d145b9c85f61ab340857e87a728bc54", - "stores.py:md5,6e829f7950f09c7c9b10568de41baca2", - "tables.py:md5,0cc5a469719e67a3b6ae0d11cd35cc66", - "tooltips.py:md5,3f6e77c5bc52d3ae8b64420c50f5daa1", - "top.py:md5,fb907f3f053a0973df8c7a4c8151baf3", - "config.py:md5,26c75ba54e5c636b291dc8d2bd685004", - "data_management.py:md5,6a4a5268f808fe198a4a6e4b6d06c5f3", - "style.py:md5,5dc95d725903350537940a41cae355dd", "Beta_vulgaris.RefBeet-1.2.2.62.gff3.gz:md5,6f2c45809441c8776e6578000db2b0e4", "gene_transcript_lengths.csv:md5,458c7dfd3598bdcbcb6ceb76ccba189f", "global_gene_id_mapping.csv:md5,63f67fb73898870c360293d30362bc33", "global_gene_metadata.csv:md5,cc8d4afdbaf03cd39a4e10f2a9040b7e", "gene_metadata.csv:md5,cc8d4afdbaf03cd39a4e10f2a9040b7e", "mapped_gene_ids.csv:md5,63f67fb73898870c360293d30362bc33", - "E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet:md5,bc9ebd34015289f205fca0afff7300c2", - "GSE55951_GPL18429.microarray.normalised.counts.cleaned.renamed.parquet:md5,a216e8107dcf85855b26a1c556dde641", "whole_design.csv:md5,fbd18d011d7d855452e5a30a303afcbf", "multiqc_citations.txt:md5,4c806e63a283ec1b7e78cdae3a923d4f", "multiqc_eatlas_all_experiments_metadata.txt:md5,8b7643e0ef8eaaa3fa72f7103fd7ccee", @@ -755,9 +716,9 @@ "multiqc_genes_section_1_7.txt:md5,d440bc9cce034ba82dd0d9f3387f9094", "multiqc_genes_section_1_8.txt:md5,dc1f5de798343036301a059b545a378f", "multiqc_genes_section_1_9.txt:md5,e9402e81e8c32c8a6b4015c4a55962f0", - "multiqc_geo_all_experiments_metadata.txt:md5,ea55376b4ab9e0edaa324b8b261dae22", - "multiqc_geo_rejected_experiments_metadata.txt:md5,d6252a5d3c78d577293853c911e32f69", - "multiqc_geo_selected_experiments_metadata.txt:md5,7635ba27ea2acce2c9517ed3c1d77ebb", + "multiqc_geo_all_experiments_metadata.txt:md5,86633ac033ae596a16f71018431632e7", + "multiqc_geo_rejected_experiments_metadata.txt:md5,48667640716e09d5c8d4ab7a7fc43fcb", + "multiqc_geo_selected_experiments_metadata.txt:md5,aa15bf400baf47226d570d61e8af61b2", "multiqc_geo_warning_reasons.txt:md5,2b53d4be74728c504752515f74c58fd2", "multiqc_id_mapping_stats.txt:md5,f03d4786d088307ad756b9661fd61ede", "multiqc_normalised_expr_distrib_section_1.txt:md5,fe7c9f8eff636a38deee18a05e17ed4d", @@ -784,20 +745,18 @@ "multiqc_ratio_nulls.txt:md5,d8ae8a87932da88063c21b9e96d7a0b3", "multiqc_ratio_zeros.txt:md5,63fd4bb33e1160d0071bd2fda14a3434", "multiqc_renaming_warning_reasons.txt:md5,317e6da04b74b7e4470616a5e791308f", - "multiqc_skewness.txt:md5,0ca6196205ff0776a826bd0b782af5e2", + "multiqc_skewness.txt:md5,5cd75e38d9b3c508bfabed7d20df20e0", "multiqc_total_gene_id_occurrence_quantiles.txt:md5,d1e0b917cd62b17c37700d4ff0f4e3ee", "multiqc_zero_values_filter.txt:md5,049541b0d77aac9703471aaafedba758", - "E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet:md5,1f732d695fb191f4c87b065aec34138e", - "E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.parquet:md5,56e8645b7ad1a61f15ea3f68705bb47b", "accessions.txt:md5,76e5e3af7c72eac7a1993a2bd75b4d1a", "selected_experiments.metadata.tsv:md5,cf220f0d0aab141abf220c856430f2f2", "species_experiments.metadata.tsv:md5,cf220f0d0aab141abf220c856430f2f2", "E_MTAB_8187_rnaseq.design.csv:md5,fbd18d011d7d855452e5a30a303afcbf", "E_MTAB_8187_rnaseq.rnaseq.raw.counts.csv:md5,fe221fd94f66df7120b0590091e14eb1", "accessions.txt:md5,a850f625a78be7b4b10ce08a5b638e23", - "geo_all_datasets.metadata.tsv:md5,7fd4e7b26f1348f86e97aa16f3fd40c0", - "geo_rejected_datasets.metadata.tsv:md5,4b4908f7ae40b84a1ac1bd5addfc8dd2", - "geo_selected_datasets.metadata.tsv:md5,62bdb8eb0e87155d149020e65d110e80", + "geo_all_datasets.metadata.tsv:md5,02070ee3605fac89e2a98d47bbc81ac8", + "geo_rejected_datasets.metadata.tsv:md5,b3c90393c5defe89783752d329ce8bc0", + "geo_selected_datasets.metadata.tsv:md5,730a0cb5d65b5fba4d1a8d373e9049eb", "GSE55951_GPL18429.microarray.normalised.counts.csv:md5,18fd2d728ad2ec5cb78f994f73375144", "GSE55951_GPL18429.microarray.normalised.design.csv:md5,f4872dff0edbe441d1600ffe2b67a25d", "GSE135555_suppl.rnaseq.raw.counts.csv:md5,b34bde25ea5d508a1670ce4264073df1", @@ -809,7 +768,7 @@ "ratio_nulls.csv:md5,61a1fa51598dd19691274cec72344086", "ratio_nulls_per_sample.csv:md5,26be7a3455d1c25335aa4f791d3f5fb8", "ratio_zeros.csv:md5,dbe4685e6c4b2c698f608d220ac0fddd", - "skewness.csv:md5,9095a03fa430d3becf74e51c843e6342", + "skewness.csv:md5,a6035b3fe1b58bb061120e9751e69434", "zero_values_filter_stats.csv:md5,5506c189469bd93293ef11c9727ddca6", "geo_warning_reasons.csv:md5,1d7787445686300070a7af880d707015", "renaming_warning_reasons.tsv:md5,ae651ff0a559e025e014412009eac136" @@ -819,7 +778,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-24T13:28:16.078143925" + "timestamp": "2026-03-30T07:48:54.920307824" }, "-profile test_included_and_excluded_accessions": { "content": [ @@ -830,8 +789,8 @@ "pyyaml": "6.0.3" }, "CLEAN_GENE_IDS": { - "polars": "1.39.2", - "python": "3.14.3" + "polars": "1.37.1", + "python": "3.12.8" }, "COLLECT_ALL_GENE_IDS": { "python": "3.14.2", @@ -873,8 +832,8 @@ "scipy": "1.17.1" }, "DESCRIPTIVE_STATISTICS": { - "polars": "1.39.2", - "python": "3.14.3" + "polars": "1.37.1", + "python": "3.12.8" }, "DETECT_RARE_GENES": { "polars": "1.39.2", @@ -1231,27 +1190,10 @@ "section_8.most_stable_genes_transposed_counts.csv:md5,104530b6c89c013b7ad42b5ac8784ee3", "section_9.most_stable_genes_summary.csv:md5,389e652ee34671bcb083ce63846b2114", "section_9.most_stable_genes_transposed_counts.csv:md5,f7c5d81dc152dc573ab1d5a2cc0e02f0", - "app.py:md5,bb43a37542f3525925e68e41f26b3eb3", "style.css:md5,e6ba182eaf06980dbda49920efbf6e64", - "all_counts.imputed.parquet:md5,df99baea9c37a28b553940a4b438a455", "all_genes_summary.csv:md5,2b30f2f39feb4d4ee9ad84dbc1bf2399", "whole_design.csv:md5,cc24405dce8d22b93b9999a2287113ef", "environment.yml:md5,dd081780e1f98d34b13289d019f8bb5b", - "common.py:md5,2579b1cf40bc1f19bf4d6cf9e7ee3261", - "genes.py:md5,680cb5f4e107a3b091821917d72a555c", - "samples.py:md5,ebe1620fd6a7280933c6e82f05b04820", - "graphs.py:md5,acdc8511cfcd2ea77ba7a90c3250fd17", - "icons.py:md5,3e66bae5ceca3dfbd190d88db0dc0828", - "right_sidebar.py:md5,7d062dd7b7b891ea04275a03eca49f8e", - "genes.py:md5,bf00a35192a594861a809a0fdfd73fc3", - "samples.py:md5,1d145b9c85f61ab340857e87a728bc54", - "stores.py:md5,6e829f7950f09c7c9b10568de41baca2", - "tables.py:md5,0cc5a469719e67a3b6ae0d11cd35cc66", - "tooltips.py:md5,3f6e77c5bc52d3ae8b64420c50f5daa1", - "top.py:md5,fb907f3f053a0973df8c7a4c8151baf3", - "config.py:md5,26c75ba54e5c636b291dc8d2bd685004", - "data_management.py:md5,6a4a5268f808fe198a4a6e4b6d06c5f3", - "style.py:md5,5dc95d725903350537940a41cae355dd", "eatlas_failure_reasons.csv:md5,2a8cd0ed795e82647d19c484a79acde6", "renaming_failure_reasons.tsv:md5,af783264770a861c263480141fdd8bf6", "Solanum_tuberosum.SolTub_3.0.62.gff3.gz:md5,cca99141f43d57d697f6df75de790e05", @@ -1260,12 +1202,6 @@ "global_gene_metadata.csv:md5,e33e0ed63a3dec26bc95fe422f02844c", "gene_metadata.csv:md5,e33e0ed63a3dec26bc95fe422f02844c", "mapped_gene_ids.csv:md5,a86823539deb80c0aa44378d3078969d", - "E_GEOD_61690_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet:md5,05f6368236ea745249e6c31f9f121c8a", - "E_GEOD_77826_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet:md5,80b6da1a80fe87abf0152cdcd50137ab", - "E_MTAB_5038_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet:md5,4b7240bb59bad1e06117a592a52d4c58", - "E_MTAB_5215_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet:md5,349f4773826c50b69e086da3ee66088b", - "E_MTAB_552_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet:md5,faba0c436faa50ec5d6b0b09e10c4154", - "E_MTAB_7711_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet:md5,680b57633ca58305714665ff8a779059", "whole_design.csv:md5,cc24405dce8d22b93b9999a2287113ef", "multiqc_citations.txt:md5,4c806e63a283ec1b7e78cdae3a923d4f", "multiqc_eatlas_all_experiments_metadata.txt:md5,a2b6cf46faf4b8c7dcdae06e17b35432", @@ -1317,21 +1253,9 @@ "multiqc_ratio_nulls.txt:md5,0ac63e9a99cd503fdf2d480f24c068e2", "multiqc_ratio_zeros.txt:md5,0bc9941a68efad9127d32c641c1f18ec", "multiqc_renaming_failure_reasons.txt:md5,970e990d84a5a7d3950db1ee248aef36", - "multiqc_skewness.txt:md5,200713febe9940f5adbc2cafa3698404", + "multiqc_skewness.txt:md5,a69660e0aa17774b57b2a8a054e89f42", "multiqc_total_gene_id_occurrence_quantiles.txt:md5,f20d5839dc5b645e0eae39e1eeeb0c35", "multiqc_zero_values_filter.txt:md5,6307f10147d98e999018d2647e2e82f8", - "E_GEOD_61690_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet:md5,bfc95236c9d7824dcea5d0e61f0378aa", - "E_GEOD_77826_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet:md5,248d1341556e4f01410f31c75ee63330", - "E_MTAB_5038_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet:md5,974adfb96b89522ce0f815350a353701", - "E_MTAB_5215_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet:md5,14e5e72b4896b5d33e4c8dbf66aefbf6", - "E_MTAB_552_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet:md5,f5650e2ec100cda47282413ead5c22de", - "E_MTAB_7711_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet:md5,f96eb7b94c0144669756d54fe3105589", - "E_GEOD_61690_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.parquet:md5,4c39d4b6dad31310712d717ef84a6bda", - "E_GEOD_77826_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.parquet:md5,ccda15cdd04f679abd872a5b8bd8f281", - "E_MTAB_5038_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.parquet:md5,f0a661c541b2d2d32c9859f785ae3b86", - "E_MTAB_5215_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.parquet:md5,1e0914a2acdc76fd0c32f0c9eea80d2a", - "E_MTAB_552_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.parquet:md5,acc5c785994cce93aead342912919400", - "E_MTAB_7711_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.parquet:md5,90b8c163b2e5e5c1489373670e12773b", "accessions.txt:md5,e38a0aaf5191ba5f94cb7a96b8d30aa7", "selected_experiments.metadata.tsv:md5,15baa430176fcadf7bf03034fa9e95c6", "species_experiments.metadata.tsv:md5,15baa430176fcadf7bf03034fa9e95c6", @@ -1354,7 +1278,7 @@ "ratio_nulls.csv:md5,b2b0b0e91d7f427dd16f2cfc25cc9c40", "ratio_nulls_per_sample.csv:md5,142c1f0b8adb34d8d20ad781111b9e7c", "ratio_zeros.csv:md5,f6c6e2df4dd9d2c089bce4847e89e6a0", - "skewness.csv:md5,9c4839399feeb4946667c87fa60fda89", + "skewness.csv:md5,2738193010a0f2d17faf2ca8ad3ab86a", "zero_values_filter_stats.csv:md5,e3f9e9e8b5c6b6e90e57444d438de219" ] ], @@ -1362,7 +1286,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-21T13:05:07.696911214" + "timestamp": "2026-03-29T14:59:07.864297207" }, "-profile test_skip_id_mapping": { "content": [ @@ -1411,14 +1335,11 @@ "gene_ids.txt:md5,831b47f91a0808802967aa0e53a25de9", "whole_design.csv:md5,70d6c2673e619ca52d2774fb3e368382", "multiqc_citations.txt:md5,4c806e63a283ec1b7e78cdae3a923d4f", - "microarray.normalised.zeros_filtered.nulls_filtered.quant_norm.parquet:md5,0f9ed5a872e8c424a9ccc83b1c33753f", - "rnaseq.raw.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet:md5,d0e926a720de0803775b0dbd118b03ac", - "rnaseq.raw.zeros_filtered.nulls_filtered.tpm.parquet:md5,bbee0410478c6ffcf57609478cdb6ab5", "missing_values_filter_stats.csv:md5,ebad5386e7c670ff04887eff67c8faae", "ratio_nulls.csv:md5,ab65c49c9b8ba7e242f391438789e080", "ratio_nulls_per_sample.csv:md5,5c2931cb8c5ecb27ffa9136628fc714c", "ratio_zeros.csv:md5,1837a5a03a551fdb0a7bba2869157559", - "skewness.csv:md5,41b18fbdbc8ac0803228e81ea1179fe5", + "skewness.csv:md5,9767d4d483957a12e6aac9cf372470d0", "zero_values_filter_stats.csv:md5,ebad5386e7c670ff04887eff67c8faae" ] ], @@ -1426,7 +1347,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-20T08:16:48.30600717" + "timestamp": "2026-03-29T14:46:58.081207316" }, "-profile test_dataset_custom_mapping_and_gene_length": { "content": [ @@ -1713,34 +1634,16 @@ "section_8.most_stable_genes_transposed_counts.csv:md5,0bfb8031fc91115a61a57113a6df5c4d", "section_9.most_stable_genes_summary.csv:md5,7178bb75b1733f71d0aeba2a09750b3b", "section_9.most_stable_genes_transposed_counts.csv:md5,b02e0d31ed2c0fa925060893062c07a7", - "app.py:md5,bb43a37542f3525925e68e41f26b3eb3", "style.css:md5,e6ba182eaf06980dbda49920efbf6e64", - "all_counts.imputed.parquet:md5,1f732d695fb191f4c87b065aec34138e", "all_genes_summary.csv:md5,e3f8d59accf267c351d0a995ffc9ebf5", "whole_design.csv:md5,fbd18d011d7d855452e5a30a303afcbf", "environment.yml:md5,dd081780e1f98d34b13289d019f8bb5b", - "common.py:md5,2579b1cf40bc1f19bf4d6cf9e7ee3261", - "genes.py:md5,680cb5f4e107a3b091821917d72a555c", - "samples.py:md5,ebe1620fd6a7280933c6e82f05b04820", - "graphs.py:md5,acdc8511cfcd2ea77ba7a90c3250fd17", - "icons.py:md5,3e66bae5ceca3dfbd190d88db0dc0828", - "right_sidebar.py:md5,7d062dd7b7b891ea04275a03eca49f8e", - "genes.py:md5,bf00a35192a594861a809a0fdfd73fc3", - "samples.py:md5,1d145b9c85f61ab340857e87a728bc54", - "stores.py:md5,6e829f7950f09c7c9b10568de41baca2", - "tables.py:md5,0cc5a469719e67a3b6ae0d11cd35cc66", - "tooltips.py:md5,3f6e77c5bc52d3ae8b64420c50f5daa1", - "top.py:md5,fb907f3f053a0973df8c7a4c8151baf3", - "config.py:md5,26c75ba54e5c636b291dc8d2bd685004", - "data_management.py:md5,6a4a5268f808fe198a4a6e4b6d06c5f3", - "style.py:md5,5dc95d725903350537940a41cae355dd", "Beta_vulgaris.RefBeet-1.2.2.62.gff3.gz:md5,6f2c45809441c8776e6578000db2b0e4", "gene_transcript_lengths.csv:md5,458c7dfd3598bdcbcb6ceb76ccba189f", "global_gene_id_mapping.csv:md5,7eecbd2d88adaf5f213f238a72d28b99", "global_gene_metadata.csv:md5,cc8d4afdbaf03cd39a4e10f2a9040b7e", "gene_metadata.csv:md5,cc8d4afdbaf03cd39a4e10f2a9040b7e", "mapped_gene_ids.csv:md5,7eecbd2d88adaf5f213f238a72d28b99", - "E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet:md5,bc9ebd34015289f205fca0afff7300c2", "whole_design.csv:md5,fbd18d011d7d855452e5a30a303afcbf", "multiqc_citations.txt:md5,4c806e63a283ec1b7e78cdae3a923d4f", "multiqc_eatlas_all_experiments_metadata.txt:md5,8b7643e0ef8eaaa3fa72f7103fd7ccee", @@ -1790,11 +1693,9 @@ "multiqc_null_values_filter.txt:md5,36e80c213d14d0e3942d84e8ad14b9cc", "multiqc_ratio_nulls.txt:md5,ba7ee3e2a9f20f19bae430c56ca11e9a", "multiqc_ratio_zeros.txt:md5,238d38905ef9fdc5e6a252255dea7f82", - "multiqc_skewness.txt:md5,0ca6196205ff0776a826bd0b782af5e2", + "multiqc_skewness.txt:md5,5cd75e38d9b3c508bfabed7d20df20e0", "multiqc_total_gene_id_occurrence_quantiles.txt:md5,389252b8ba48d86c6100d0abcd762ac1", "multiqc_zero_values_filter.txt:md5,36e80c213d14d0e3942d84e8ad14b9cc", - "E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet:md5,1f732d695fb191f4c87b065aec34138e", - "E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.parquet:md5,56e8645b7ad1a61f15ea3f68705bb47b", "accessions.txt:md5,76e5e3af7c72eac7a1993a2bd75b4d1a", "selected_experiments.metadata.tsv:md5,cf220f0d0aab141abf220c856430f2f2", "species_experiments.metadata.tsv:md5,cf220f0d0aab141abf220c856430f2f2", @@ -1805,7 +1706,7 @@ "ratio_nulls.csv:md5,3649422febfc0208bb0f1892d071a0a1", "ratio_nulls_per_sample.csv:md5,88f76a381ba0635b334ea65f1dc9311f", "ratio_zeros.csv:md5,e31a1f46c19c75381bd237f520658bf3", - "skewness.csv:md5,9095a03fa430d3becf74e51c843e6342", + "skewness.csv:md5,a6035b3fe1b58bb061120e9751e69434", "zero_values_filter_stats.csv:md5,a4a1e6b5e88fc2226c01f237b90214db" ] ], @@ -1813,7 +1714,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-22T13:10:05.64690275" + "timestamp": "2026-03-29T14:12:07.597296294" }, "-profile test_accessions_only": { "content": [ @@ -1863,7 +1764,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-20T08:13:35.266891999" + "timestamp": "2026-03-29T14:35:30.092884854" }, "-profile test_one_accession_low_gene_count": { "content": [ @@ -1874,8 +1775,8 @@ "pyyaml": "6.0.3" }, "CLEAN_GENE_IDS": { - "polars": "1.39.2", - "python": "3.14.3" + "polars": "1.37.1", + "python": "3.12.8" }, "COLLECT_ALL_GENE_IDS": { "python": "3.14.2", @@ -1917,8 +1818,8 @@ "scipy": "1.17.1" }, "DESCRIPTIVE_STATISTICS": { - "polars": "1.39.2", - "python": "3.14.3" + "polars": "1.37.1", + "python": "3.12.8" }, "DETECT_RARE_GENES": { "polars": "1.39.2", @@ -2223,34 +2124,16 @@ "section_8.most_stable_genes_transposed_counts.csv:md5,337a0e231598d45291a6a42a25c585b1", "section_9.most_stable_genes_summary.csv:md5,cfaafcd65fffaed8169835cfc0992430", "section_9.most_stable_genes_transposed_counts.csv:md5,cdb7220619e76d11963f1f1b08101e42", - "app.py:md5,bb43a37542f3525925e68e41f26b3eb3", "style.css:md5,e6ba182eaf06980dbda49920efbf6e64", - "all_counts.imputed.parquet:md5,0ead509ded110fe58b922c6a944fd64c", "all_genes_summary.csv:md5,643bb1aa5f128bad6f192bd2aeaa2ee6", "whole_design.csv:md5,d3aa542c4ad07d0051a84482fe6cd81c", "environment.yml:md5,dd081780e1f98d34b13289d019f8bb5b", - "common.py:md5,2579b1cf40bc1f19bf4d6cf9e7ee3261", - "genes.py:md5,680cb5f4e107a3b091821917d72a555c", - "samples.py:md5,ebe1620fd6a7280933c6e82f05b04820", - "graphs.py:md5,acdc8511cfcd2ea77ba7a90c3250fd17", - "icons.py:md5,3e66bae5ceca3dfbd190d88db0dc0828", - "right_sidebar.py:md5,7d062dd7b7b891ea04275a03eca49f8e", - "genes.py:md5,bf00a35192a594861a809a0fdfd73fc3", - "samples.py:md5,1d145b9c85f61ab340857e87a728bc54", - "stores.py:md5,6e829f7950f09c7c9b10568de41baca2", - "tables.py:md5,0cc5a469719e67a3b6ae0d11cd35cc66", - "tooltips.py:md5,3f6e77c5bc52d3ae8b64420c50f5daa1", - "top.py:md5,fb907f3f053a0973df8c7a4c8151baf3", - "config.py:md5,26c75ba54e5c636b291dc8d2bd685004", - "data_management.py:md5,6a4a5268f808fe198a4a6e4b6d06c5f3", - "style.py:md5,5dc95d725903350537940a41cae355dd", "Arabidopsis_thaliana.TAIR10.62.gff3.gz:md5,b02566c301d47461db70747b3adaa6ce", "gene_transcript_lengths.csv:md5,06b4612031f4f300a6d67f36e7625492", "global_gene_id_mapping.csv:md5,42491ef436cce231258c0358e1af5745", "global_gene_metadata.csv:md5,b35e20500269d4e6787ef1a3468f16bc", "gene_metadata.csv:md5,b35e20500269d4e6787ef1a3468f16bc", "mapped_gene_ids.csv:md5,42491ef436cce231258c0358e1af5745", - "E_GEOD_51720_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet:md5,4e5f3b3fc2c206769cfb50feaba70046", "whole_design.csv:md5,d3aa542c4ad07d0051a84482fe6cd81c", "multiqc_citations.txt:md5,4c806e63a283ec1b7e78cdae3a923d4f", "multiqc_gene_statistics.txt:md5,53fe105326f1a097d3437731eb4e3a8d", @@ -2298,11 +2181,9 @@ "multiqc_null_values_filter.txt:md5,91eb32460cdebb4e08ae0b1ee559cf59", "multiqc_ratio_nulls.txt:md5,bcf9aa423c404f2e7f8ea84735810959", "multiqc_ratio_zeros.txt:md5,c743a773da2858b59923eff1873c26d0", - "multiqc_skewness.txt:md5,8842798a4596894a554be2b18469a89a", + "multiqc_skewness.txt:md5,c93d0056023177557858a0c36629158b", "multiqc_total_gene_id_occurrence_quantiles.txt:md5,9eb24790b7fbfee4b7c3bcff74a334db", "multiqc_zero_values_filter.txt:md5,a9ec449705f94f15962e6ca856b87420", - "E_GEOD_51720_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet:md5,0ead509ded110fe58b922c6a944fd64c", - "E_GEOD_51720_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.parquet:md5,8fc3d605078189ee180878b216655a5e", "E_GEOD_51720_rnaseq.design.csv:md5,80805afb29837b6fbb73a6aa6f3a461b", "E_GEOD_51720_rnaseq.rnaseq.raw.counts.csv:md5,07cd448196fc2fea4663bd9705da2b98", "id_mapping_stats.csv:md5,cd17a5d4afa6b86a48adb03868d3073f", @@ -2310,7 +2191,7 @@ "ratio_nulls.csv:md5,9c496b3b8c098a1bc17c6be7a87f2331", "ratio_nulls_per_sample.csv:md5,9211cb6081071e8825119194faf6241f", "ratio_zeros.csv:md5,17b7bde6ca29e11bb1e28db6b8053add", - "skewness.csv:md5,68470c0c5c2e54af93e2cd8c8517d779", + "skewness.csv:md5,ebf2cbe1881481de975f88fe8e4d671f", "zero_values_filter_stats.csv:md5,766d888e41179e8a785f634b3b606bc9" ] ], @@ -2318,7 +2199,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-21T12:50:51.861295012" + "timestamp": "2026-03-29T14:45:11.705713295" }, "-profile test_public_and_dataset": { "content": [ @@ -2551,35 +2432,16 @@ "section_8.most_stable_genes_transposed_counts.csv:md5,0bfb8031fc91115a61a57113a6df5c4d", "section_9.most_stable_genes_summary.csv:md5,7178bb75b1733f71d0aeba2a09750b3b", "section_9.most_stable_genes_transposed_counts.csv:md5,b02e0d31ed2c0fa925060893062c07a7", - "app.py:md5,bb43a37542f3525925e68e41f26b3eb3", "style.css:md5,e6ba182eaf06980dbda49920efbf6e64", - "all_counts.imputed.parquet:md5,1f732d695fb191f4c87b065aec34138e", "all_genes_summary.csv:md5,e3f8d59accf267c351d0a995ffc9ebf5", "whole_design.csv:md5,fbd18d011d7d855452e5a30a303afcbf", "environment.yml:md5,dd081780e1f98d34b13289d019f8bb5b", - "common.py:md5,2579b1cf40bc1f19bf4d6cf9e7ee3261", - "genes.py:md5,680cb5f4e107a3b091821917d72a555c", - "samples.py:md5,ebe1620fd6a7280933c6e82f05b04820", - "graphs.py:md5,acdc8511cfcd2ea77ba7a90c3250fd17", - "icons.py:md5,3e66bae5ceca3dfbd190d88db0dc0828", - "right_sidebar.py:md5,7d062dd7b7b891ea04275a03eca49f8e", - "genes.py:md5,bf00a35192a594861a809a0fdfd73fc3", - "samples.py:md5,1d145b9c85f61ab340857e87a728bc54", - "stores.py:md5,6e829f7950f09c7c9b10568de41baca2", - "tables.py:md5,0cc5a469719e67a3b6ae0d11cd35cc66", - "tooltips.py:md5,3f6e77c5bc52d3ae8b64420c50f5daa1", - "top.py:md5,fb907f3f053a0973df8c7a4c8151baf3", - "config.py:md5,26c75ba54e5c636b291dc8d2bd685004", - "data_management.py:md5,6a4a5268f808fe198a4a6e4b6d06c5f3", - "style.py:md5,5dc95d725903350537940a41cae355dd", "Beta_vulgaris.RefBeet-1.2.2.62.gff3.gz:md5,6f2c45809441c8776e6578000db2b0e4", "gene_transcript_lengths.csv:md5,458c7dfd3598bdcbcb6ceb76ccba189f", "global_gene_id_mapping.csv:md5,7eecbd2d88adaf5f213f238a72d28b99", "global_gene_metadata.csv:md5,cc8d4afdbaf03cd39a4e10f2a9040b7e", "gene_metadata.csv:md5,cc8d4afdbaf03cd39a4e10f2a9040b7e", "mapped_gene_ids.csv:md5,7eecbd2d88adaf5f213f238a72d28b99", - "E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet:md5,bc9ebd34015289f205fca0afff7300c2", - "beta_vulgaris.rnaseq.raw.counts.cleaned.renamed.parquet:md5,4a442e10b6c541e1378f9bc8746be20f", "whole_design.csv:md5,fbd18d011d7d855452e5a30a303afcbf", "multiqc_citations.txt:md5,4c806e63a283ec1b7e78cdae3a923d4f", "multiqc_eatlas_all_experiments_metadata.txt:md5,8b7643e0ef8eaaa3fa72f7103fd7ccee", @@ -2629,11 +2491,9 @@ "multiqc_null_values_filter.txt:md5,88b2d9e16cd8ab52f58a48fd5d915b8c", "multiqc_ratio_nulls.txt:md5,c9ac04a67937c7bacfebc33fcd50aab1", "multiqc_ratio_zeros.txt:md5,9f50cd64ea4afe3723c7e222182981f6", - "multiqc_skewness.txt:md5,0ca6196205ff0776a826bd0b782af5e2", + "multiqc_skewness.txt:md5,5cd75e38d9b3c508bfabed7d20df20e0", "multiqc_total_gene_id_occurrence_quantiles.txt:md5,497b807412eb4478e97ff0c50846c9ce", "multiqc_zero_values_filter.txt:md5,4082d32f92221ed686e79910c6d2f6b3", - "E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet:md5,1f732d695fb191f4c87b065aec34138e", - "E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.parquet:md5,56e8645b7ad1a61f15ea3f68705bb47b", "accessions.txt:md5,76e5e3af7c72eac7a1993a2bd75b4d1a", "selected_experiments.metadata.tsv:md5,cf220f0d0aab141abf220c856430f2f2", "species_experiments.metadata.tsv:md5,cf220f0d0aab141abf220c856430f2f2", @@ -2644,7 +2504,7 @@ "ratio_nulls.csv:md5,62625b0e4f7f36a59dfe077a4c709a94", "ratio_nulls_per_sample.csv:md5,be115e6d6c5ed7b7206891ebaa0f7a67", "ratio_zeros.csv:md5,96bbe4bd2d4c29ab5701588132af9684", - "skewness.csv:md5,9095a03fa430d3becf74e51c843e6342", + "skewness.csv:md5,a6035b3fe1b58bb061120e9751e69434", "zero_values_filter_stats.csv:md5,17fc6d525450d34445bf9cc25defe18a" ] ], @@ -2652,7 +2512,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-21T12:30:48.493791227" + "timestamp": "2026-03-29T14:25:41.575250542" }, "-profile test_download_only": { "content": [ @@ -2709,7 +2569,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-20T08:14:08.452492061" + "timestamp": "2026-03-29T14:36:07.351960504" }, "-profile test_gprofiler_target_database_entrez": { "content": [ @@ -2941,34 +2801,16 @@ "section_8.most_stable_genes_transposed_counts.csv:md5,0bfb8031fc91115a61a57113a6df5c4d", "section_9.most_stable_genes_summary.csv:md5,7178bb75b1733f71d0aeba2a09750b3b", "section_9.most_stable_genes_transposed_counts.csv:md5,b02e0d31ed2c0fa925060893062c07a7", - "app.py:md5,bb43a37542f3525925e68e41f26b3eb3", "style.css:md5,e6ba182eaf06980dbda49920efbf6e64", - "all_counts.imputed.parquet:md5,1f732d695fb191f4c87b065aec34138e", "all_genes_summary.csv:md5,e3f8d59accf267c351d0a995ffc9ebf5", "whole_design.csv:md5,fbd18d011d7d855452e5a30a303afcbf", "environment.yml:md5,dd081780e1f98d34b13289d019f8bb5b", - "common.py:md5,2579b1cf40bc1f19bf4d6cf9e7ee3261", - "genes.py:md5,680cb5f4e107a3b091821917d72a555c", - "samples.py:md5,ebe1620fd6a7280933c6e82f05b04820", - "graphs.py:md5,acdc8511cfcd2ea77ba7a90c3250fd17", - "icons.py:md5,3e66bae5ceca3dfbd190d88db0dc0828", - "right_sidebar.py:md5,7d062dd7b7b891ea04275a03eca49f8e", - "genes.py:md5,bf00a35192a594861a809a0fdfd73fc3", - "samples.py:md5,1d145b9c85f61ab340857e87a728bc54", - "stores.py:md5,6e829f7950f09c7c9b10568de41baca2", - "tables.py:md5,0cc5a469719e67a3b6ae0d11cd35cc66", - "tooltips.py:md5,3f6e77c5bc52d3ae8b64420c50f5daa1", - "top.py:md5,fb907f3f053a0973df8c7a4c8151baf3", - "config.py:md5,26c75ba54e5c636b291dc8d2bd685004", - "data_management.py:md5,6a4a5268f808fe198a4a6e4b6d06c5f3", - "style.py:md5,5dc95d725903350537940a41cae355dd", "Beta_vulgaris.RefBeet-1.2.2.62.gff3.gz:md5,6f2c45809441c8776e6578000db2b0e4", "gene_transcript_lengths.csv:md5,458c7dfd3598bdcbcb6ceb76ccba189f", "global_gene_id_mapping.csv:md5,7eecbd2d88adaf5f213f238a72d28b99", "global_gene_metadata.csv:md5,cc8d4afdbaf03cd39a4e10f2a9040b7e", "gene_metadata.csv:md5,cc8d4afdbaf03cd39a4e10f2a9040b7e", "mapped_gene_ids.csv:md5,7eecbd2d88adaf5f213f238a72d28b99", - "E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.parquet:md5,bc9ebd34015289f205fca0afff7300c2", "whole_design.csv:md5,fbd18d011d7d855452e5a30a303afcbf", "multiqc_citations.txt:md5,4c806e63a283ec1b7e78cdae3a923d4f", "multiqc_eatlas_all_experiments_metadata.txt:md5,8b7643e0ef8eaaa3fa72f7103fd7ccee", @@ -3018,11 +2860,9 @@ "multiqc_null_values_filter.txt:md5,36e80c213d14d0e3942d84e8ad14b9cc", "multiqc_ratio_nulls.txt:md5,ba7ee3e2a9f20f19bae430c56ca11e9a", "multiqc_ratio_zeros.txt:md5,238d38905ef9fdc5e6a252255dea7f82", - "multiqc_skewness.txt:md5,0ca6196205ff0776a826bd0b782af5e2", + "multiqc_skewness.txt:md5,5cd75e38d9b3c508bfabed7d20df20e0", "multiqc_total_gene_id_occurrence_quantiles.txt:md5,389252b8ba48d86c6100d0abcd762ac1", "multiqc_zero_values_filter.txt:md5,36e80c213d14d0e3942d84e8ad14b9cc", - "E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.quant_norm.parquet:md5,1f732d695fb191f4c87b065aec34138e", - "E_MTAB_8187_rnaseq.rnaseq.raw.counts.cleaned.renamed.zeros_filtered.nulls_filtered.tpm.parquet:md5,56e8645b7ad1a61f15ea3f68705bb47b", "accessions.txt:md5,76e5e3af7c72eac7a1993a2bd75b4d1a", "selected_experiments.metadata.tsv:md5,cf220f0d0aab141abf220c856430f2f2", "species_experiments.metadata.tsv:md5,cf220f0d0aab141abf220c856430f2f2", @@ -3033,7 +2873,7 @@ "ratio_nulls.csv:md5,3649422febfc0208bb0f1892d071a0a1", "ratio_nulls_per_sample.csv:md5,88f76a381ba0635b334ea65f1dc9311f", "ratio_zeros.csv:md5,e31a1f46c19c75381bd237f520658bf3", - "skewness.csv:md5,9095a03fa430d3becf74e51c843e6342", + "skewness.csv:md5,a6035b3fe1b58bb061120e9751e69434", "zero_values_filter_stats.csv:md5,a4a1e6b5e88fc2226c01f237b90214db" ] ], @@ -3041,6 +2881,6 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-21T13:14:00.255319576" + "timestamp": "2026-03-29T15:07:53.783250807" } } \ No newline at end of file diff --git a/tests/modules/local/compute_dataset_statistics/main.nf.test.snap b/tests/modules/local/compute_dataset_statistics/main.nf.test.snap index 234297e4..6a603294 100644 --- a/tests/modules/local/compute_dataset_statistics/main.nf.test.snap +++ b/tests/modules/local/compute_dataset_statistics/main.nf.test.snap @@ -5,21 +5,21 @@ "0": [ [ "test", - "skewness.txt:md5,d9684048b8a38ccf6d0a25c5c086df8b" + "skewness.txt:md5,0503443761b306e254ac1c0075ea267e" ] ], "1": [ [ "COMPUTE_DATASET_STATISTICS", "python", - "3.14.3" + "3.12.8" ] ], "2": [ [ "COMPUTE_DATASET_STATISTICS", "polars", - "1.39.2" + "1.37.1" ] ] } @@ -28,6 +28,6 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-19T12:14:59.442834613" + "timestamp": "2026-03-29T16:42:02.688607915" } } \ No newline at end of file diff --git a/tests/modules/local/expressionatlas/getdata/main.nf.test.snap b/tests/modules/local/expressionatlas/getdata/main.nf.test.snap index aa51b29a..cc3b5be5 100644 --- a/tests/modules/local/expressionatlas/getdata/main.nf.test.snap +++ b/tests/modules/local/expressionatlas/getdata/main.nf.test.snap @@ -83,7 +83,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-19T12:17:59.709656156" + "timestamp": "2026-03-29T16:45:22.368557567" }, "Transcription profiling by array of Arabidopsis mutant for fis2 (microarray)": { "content": [ From 95dd20e85cd6cdf3a27be7e0f76332297686ee15 Mon Sep 17 00:00:00 2001 From: Olivier Date: Mon, 30 Mar 2026 12:40:19 +0200 Subject: [PATCH 24/41] authorize failure and ignore error for expression get data and geo det data --- conf/base.config | 18 ++++++++++++++++++ modules/local/expressionatlas/getdata/main.nf | 1 + modules/local/geo/getdata/main.nf | 1 + 3 files changed, 20 insertions(+) diff --git a/conf/base.config b/conf/base.config index 080f1fe9..12e88c25 100644 --- a/conf/base.config +++ b/conf/base.config @@ -40,6 +40,7 @@ process { 'terminate' } } + maxRetries = 10 maxErrors = '-1' @@ -70,5 +71,22 @@ process { memory = { 8.GB + 4.GB * task.attempt } time = { 8.h * task.attempt } } + withLabel:can_fail { + errorStrategy = { + if (task.exitStatus == 100) { // managed errors that should not be retried but ignored at once + 'ignore' + } else if (task.exitStatus == 101) { // connection errors that should be retried + 'retry' + } else if (task.exitStatus in ((130..145) + 104 + 175)) { // OOM & related errors; should be retried as long as memory does not fit + sleep(Math.pow(2, task.attempt) * 200 as long) + 'retry' + } else if (task.attempt <= 3) { // all other errors should be retried with exponential backoff with max retry = 3 + sleep(Math.pow(2, task.attempt) * 200 as long) + 'retry' + } else { // after 3 retries, ignore the error + 'ignore' + } + } + } } diff --git a/modules/local/expressionatlas/getdata/main.nf b/modules/local/expressionatlas/getdata/main.nf index faecb7b2..1902185f 100644 --- a/modules/local/expressionatlas/getdata/main.nf +++ b/modules/local/expressionatlas/getdata/main.nf @@ -1,6 +1,7 @@ process EXPRESSIONATLAS_GETDATA { label 'process_single' + label 'can_fail' tag "$accession" diff --git a/modules/local/geo/getdata/main.nf b/modules/local/geo/getdata/main.nf index 6ab20b83..5996862c 100644 --- a/modules/local/geo/getdata/main.nf +++ b/modules/local/geo/getdata/main.nf @@ -1,6 +1,7 @@ process GEO_GETDATA { label 'process_single' + label 'can_fail' tag "$accession" From d94cb491c46fe671568643401643f445cdd4d3ce Mon Sep 17 00:00:00 2001 From: Olivier Date: Thu, 2 Apr 2026 12:16:55 +0200 Subject: [PATCH 25/41] fix tests --- .github/workflows/nf-test.yml | 2 +- README.md | 2 +- bin/aggregate_results.py | 2 +- bin/get_eatlas_accessions.py | 13 +- modules/local/expressionatlas/getdata/main.nf | 2 +- nextflow.config | 2 +- ro-crate-metadata.json | 33 +- tests/.nftignore | 2 + tests/default.nf.test.snap | 10 +- .../local/aggregate_results/main.nf.test | 81 +- .../local/aggregate_results/main.nf.test.snap | 270 +- .../main.nf.test.snap | 526 ++- .../compute_gene_statistics/main.nf.test.snap | 62 +- .../compute_stability_scores/main.nf.test | 4 +- .../main.nf.test.snap | 36 +- .../expressionatlas/getdata/main.nf.test | 8 + .../filter_and_rename_genes/main.nf.test.snap | 3682 ++++++++++++++- .../compute_m_measure/main.nf.test.snap | 28 +- .../local/genorm/cross_join/main.nf.test.snap | 6 +- .../genorm/expression_ratio/main.nf.test.snap | 36 +- .../genorm/make_chunks/main.nf.test.snap | 54 +- .../main.nf.test.snap | 36 +- tests/modules/local/geo/getdata/main.nf.test | 12 +- .../local/geo/getdata/main.nf.test.snap | 136 +- .../get_candidate_genes/main.nf.test.snap | 100 +- tests/modules/local/merge_counts/main.nf.test | 11 +- .../local/merge_counts/main.nf.test.snap | 83 +- .../compute_cpm/main.nf.test.snap | 2104 ++++++++- .../compute_tpm/main.nf.test.snap | 4208 ++++++++++++++++- .../local/normfinder/main.nf.test.snap | 92 +- .../quantile_normalisation/main.nf.test.snap | 2104 ++++++++- .../local/genorm/main.nf.test.snap | 36 +- .../local/get_public_accessions/main.nf.test | 46 + .../get_public_accessions/main.nf.test.snap | 51 +- .../test_data/aggregate_results/metadata.csv | 2 +- .../output/section_1.stats_with_scores.csv | 6 + .../output/section_2.stats_with_scores.csv | 5 + .../output/stats_all_genes.csv | 18 +- .../input/stats_all_genes.csv | 20 +- .../input/stats_all_genes.parquet | Bin 0 -> 5079 bytes .../input/count.raw.cpm.quant_norm.parquet | Bin 6530 -> 3412 bytes .../input/count2.raw.cpm.quant_norm.parquet | Bin 6547 -> 3388 bytes .../compute_m_measure/input/std.0.0.parquet | Bin 593674 -> 595564 bytes .../compute_m_measure/input/std.0.1.parquet | Bin 1354760 -> 1340333 bytes .../compute_m_measure/input/std.0.2.parquet | Bin 1353997 -> 1344456 bytes .../compute_m_measure/input/std.0.3.parquet | Bin 451970 -> 446062 bytes .../compute_m_measure/input/std.1.1.parquet | Bin 600749 -> 602069 bytes .../compute_m_measure/input/std.1.2.parquet | Bin 1367867 -> 1357853 bytes .../compute_m_measure/input/std.1.3.parquet | Bin 455299 -> 445007 bytes .../compute_m_measure/input/std.2.2.parquet | Bin 601884 -> 603412 bytes .../compute_m_measure/input/std.2.3.parquet | Bin 455320 -> 447755 bytes .../compute_m_measure/input/std.3.3.parquet | Bin 55087 -> 55007 bytes .../cross_join/output/cross_join.0.1.parquet | Bin 16244 -> 16814 bytes .../output/ratios.0.1.parquet | Bin 1345215 -> 1345030 bytes .../make_chunks/input/counts.head.parquet | Bin 3732 -> 2069 bytes .../genorm/make_chunks/input/counts.parquet | Bin 45686 -> 32475 bytes .../make_chunks/output/count_chunk.0.parquet | Bin 6433 -> 6297 bytes .../make_chunks/output/count_chunk.1.parquet | Bin 6375 -> 6239 bytes .../make_chunks/output/count_chunk.2.parquet | Bin 6383 -> 6247 bytes .../output/std.0.1.parquet | Bin 639448 -> 637686 bytes .../output/std.0.2.parquet | Bin 638182 -> 637719 bytes .../merge_data/input/counts1.parquet | Bin 3933 -> 3665 bytes .../merge_data/input/counts2.parquet | Bin 3865 -> 3597 bytes .../merge_data/input/counts3.parquet | Bin 3921 -> 3653 bytes .../merge_data/output/all_counts.parquet | Bin 11036 -> 10288 bytes .../all_counts.normalised.parquet | Bin 6708 -> 6676 bytes .../all_counts.normalised.parquet | Bin 2553 -> 2365 bytes 67 files changed, 13608 insertions(+), 323 deletions(-) create mode 100644 tests/test_data/base_statistics/output/section_1.stats_with_scores.csv create mode 100644 tests/test_data/base_statistics/output/section_2.stats_with_scores.csv create mode 100644 tests/test_data/compute_stability_scores/input/stats_all_genes.parquet diff --git a/.github/workflows/nf-test.yml b/.github/workflows/nf-test.yml index bf59d7cc..25391637 100644 --- a/.github/workflows/nf-test.yml +++ b/.github/workflows/nf-test.yml @@ -79,7 +79,7 @@ jobs: # - isMain: false # profile: "singularity" NXF_VER: - - "25.10.4" + - "25.04.0" - "latest-everything" env: NXF_ANSI_LOG: false diff --git a/README.md b/README.md index 4f737746..bea23099 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ [![GitHub Actions Linting Status](https://github.com/nf-core/stableexpression/actions/workflows/linting.yml/badge.svg)](https://github.com/nf-core/stableexpression/actions/workflows/linting.yml)[![AWS CI](https://img.shields.io/badge/CI%20tests-full%20size-FF9900?labelColor=000000&logo=Amazon%20AWS)](https://nf-co.re/stableexpression/results)[![Cite with Zenodo](http://img.shields.io/badge/DOI-10.5281/zenodo.XXXXXXX-1073c8?labelColor=000000)](https://doi.org/10.5281/zenodo.XXXXXXX) [![nf-test](https://img.shields.io/badge/unit_tests-nf--test-337ab7.svg)](https://www.nf-test.com) -[![Nextflow](https://img.shields.io/badge/version-%E2%89%A525.10.4-green?style=flat&logo=nextflow&logoColor=white&color=%230DC09D&link=https%3A%2F%2Fnextflow.io)](https://www.nextflow.io/) +[![Nextflow](https://img.shields.io/badge/version-%E2%89%A525.04.0-green?style=flat&logo=nextflow&logoColor=white&color=%230DC09D&link=https%3A%2F%2Fnextflow.io)](https://www.nextflow.io/) [![nf-core template version](https://img.shields.io/badge/nf--core_template-3.5.1-green?style=flat&logo=nfcore&logoColor=white&color=%2324B064&link=https%3A%2F%2Fnf-co.re)](https://github.com/nf-core/tools/releases/tag/3.5.1) [![run with apptainer](https://custom-icon-badges.demolab.com/badge/run%20with-apptainer-4545?logo=apptainer&color=teal&labelColor=000000)](https://apptainer.org/) [![run with conda](http://img.shields.io/badge/run%20with-conda-3EB049?labelColor=000000&logo=anaconda)](https://docs.conda.io/en/latest/) diff --git a/bin/aggregate_results.py b/bin/aggregate_results.py index fc318b24..ec47496c 100755 --- a/bin/aggregate_results.py +++ b/bin/aggregate_results.py @@ -428,7 +428,7 @@ def main(): all_genes_summary_df = complement_gene_summary_table( stat_score_df, *additional_data_dfs ) - + print(additional_data_dfs) logger.info(f"Exporting statistics of all genes to: {ALL_GENE_SUMMARY_OUTFILENAME}") # sorting values in order to having consistent output all_genes_summary_df.sort(by=config.GENE_ID_COLNAME).write_csv( diff --git a/bin/get_eatlas_accessions.py b/bin/get_eatlas_accessions.py index f0f6285b..58f72443 100755 --- a/bin/get_eatlas_accessions.py +++ b/bin/get_eatlas_accessions.py @@ -446,6 +446,7 @@ def main(): # getting accessions of selected experiments selected_accessions = [exp_dict["accession"] for exp_dict in results] + sampling_status = "ok" if args.random_sampling_size and args.random_sampling_seed: selected_accession_to_nb_samples = [ { @@ -469,11 +470,13 @@ def main(): f"Kept {len(selected_accessions)} experiments after random sampling" ) - # writing status to file - # so that the wrapper module can get the status - with open(SAMPLING_QUOTA_OUTFILE, "w") as fout: - sampling_status = "full" if sampling_quota_reached else "ok" - fout.write(sampling_status) + if sampling_quota_reached: + sampling_status = "full" + + # writing status to file + # so that the wrapper module can get the status + with open(SAMPLING_QUOTA_OUTFILE, "w") as fout: + fout.write(sampling_status) # keeping metadata only for selected experiments selected_experiments = get_metadata_for_selected_experiments(experiments, results) diff --git a/modules/local/expressionatlas/getdata/main.nf b/modules/local/expressionatlas/getdata/main.nf index 1902185f..6c958b28 100644 --- a/modules/local/expressionatlas/getdata/main.nf +++ b/modules/local/expressionatlas/getdata/main.nf @@ -1,5 +1,5 @@ process EXPRESSIONATLAS_GETDATA { - + debug true label 'process_single' label 'can_fail' diff --git a/nextflow.config b/nextflow.config index 1dea2dc3..910a3ec7 100644 --- a/nextflow.config +++ b/nextflow.config @@ -306,7 +306,7 @@ manifest { description = """This pipeline is dedicated to finding the most stable genes across count datasets""" mainScript = 'main.nf' defaultBranch = 'main' - nextflowVersion = '!>=25.10.4' + nextflowVersion = '!>=25.04.0' version = '1.0.0' doi = '' } diff --git a/ro-crate-metadata.json b/ro-crate-metadata.json index 32a8ecb0..52d76c2d 100644 --- a/ro-crate-metadata.json +++ b/ro-crate-metadata.json @@ -127,11 +127,7 @@ }, { "@id": "main.nf", - "@type": [ - "File", - "SoftwareSourceCode", - "ComputationalWorkflow" - ], + "@type": ["File", "SoftwareSourceCode", "ComputationalWorkflow"], "creator": [ { "@id": "https://orcid.org/0000-0003-3387-1040" @@ -140,37 +136,22 @@ "dateCreated": "", "dateModified": "2026-03-14T10:55:43Z", "dct:conformsTo": "https://bioschemas.org/profiles/ComputationalWorkflow/1.0-RELEASE/", - "keywords": [ - "nf-core", - "nextflow", - "expression", - "housekeeping-genes", - "qpcr-analysis" - ], - "license": [ - "MIT" - ], + "keywords": ["nf-core", "nextflow", "expression", "housekeeping-genes", "qpcr-analysis"], + "license": ["MIT"], "maintainer": [ { "@id": "https://orcid.org/0000-0003-3387-1040" } ], - "name": [ - "nf-core/stableexpression" - ], + "name": ["nf-core/stableexpression"], "programmingLanguage": { "@id": "https://w3id.org/workflowhub/workflow-ro-crate#nextflow" }, "sdPublisher": { "@id": "https://nf-co.re/" }, - "url": [ - "https://github.com/nf-core/stableexpression", - "https://nf-co.re/stableexpression/1.0.0/" - ], - "version": [ - "1.0.0" - ] + "url": ["https://github.com/nf-core/stableexpression", "https://nf-co.re/stableexpression/1.0.0/"], + "version": ["1.0.0"] }, { "@id": "https://w3id.org/workflowhub/workflow-ro-crate#nextflow", @@ -182,7 +163,7 @@ "url": { "@id": "https://www.nextflow.io/" }, - "version": "!>=25.10.4" + "version": "!>=25.04.0" }, { "@id": "#6aa6a373-9bb0-4502-a8f4-2fce1f6296ee", diff --git a/tests/.nftignore b/tests/.nftignore index ee867b7f..cab5d833 100644 --- a/tests/.nftignore +++ b/tests/.nftignore @@ -10,3 +10,5 @@ multiqc/multiqc_report.html pipeline_info/*.{html,json,txt,yml} **.py **.parquet +**multiqc_geo*metadata.txt +**geo*metadata.tsv diff --git a/tests/default.nf.test.snap b/tests/default.nf.test.snap index 8ae2d353..961d2d66 100644 --- a/tests/default.nf.test.snap +++ b/tests/default.nf.test.snap @@ -716,9 +716,6 @@ "multiqc_genes_section_1_7.txt:md5,d440bc9cce034ba82dd0d9f3387f9094", "multiqc_genes_section_1_8.txt:md5,dc1f5de798343036301a059b545a378f", "multiqc_genes_section_1_9.txt:md5,e9402e81e8c32c8a6b4015c4a55962f0", - "multiqc_geo_all_experiments_metadata.txt:md5,86633ac033ae596a16f71018431632e7", - "multiqc_geo_rejected_experiments_metadata.txt:md5,48667640716e09d5c8d4ab7a7fc43fcb", - "multiqc_geo_selected_experiments_metadata.txt:md5,aa15bf400baf47226d570d61e8af61b2", "multiqc_geo_warning_reasons.txt:md5,2b53d4be74728c504752515f74c58fd2", "multiqc_id_mapping_stats.txt:md5,f03d4786d088307ad756b9661fd61ede", "multiqc_normalised_expr_distrib_section_1.txt:md5,fe7c9f8eff636a38deee18a05e17ed4d", @@ -754,9 +751,6 @@ "E_MTAB_8187_rnaseq.design.csv:md5,fbd18d011d7d855452e5a30a303afcbf", "E_MTAB_8187_rnaseq.rnaseq.raw.counts.csv:md5,fe221fd94f66df7120b0590091e14eb1", "accessions.txt:md5,a850f625a78be7b4b10ce08a5b638e23", - "geo_all_datasets.metadata.tsv:md5,02070ee3605fac89e2a98d47bbc81ac8", - "geo_rejected_datasets.metadata.tsv:md5,b3c90393c5defe89783752d329ce8bc0", - "geo_selected_datasets.metadata.tsv:md5,730a0cb5d65b5fba4d1a8d373e9049eb", "GSE55951_GPL18429.microarray.normalised.counts.csv:md5,18fd2d728ad2ec5cb78f994f73375144", "GSE55951_GPL18429.microarray.normalised.design.csv:md5,f4872dff0edbe441d1600ffe2b67a25d", "GSE135555_suppl.rnaseq.raw.counts.csv:md5,b34bde25ea5d508a1670ce4264073df1", @@ -778,7 +772,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-30T07:48:54.920307824" + "timestamp": "2026-04-01T18:07:34.763955365" }, "-profile test_included_and_excluded_accessions": { "content": [ @@ -1286,7 +1280,7 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-29T14:59:07.864297207" + "timestamp": "2026-03-30T12:50:35.580272727" }, "-profile test_skip_id_mapping": { "content": [ diff --git a/tests/modules/local/aggregate_results/main.nf.test b/tests/modules/local/aggregate_results/main.nf.test index 7cee5345..27bb47d4 100644 --- a/tests/modules/local/aggregate_results/main.nf.test +++ b/tests/modules/local/aggregate_results/main.nf.test @@ -11,12 +11,15 @@ nextflow_process { process { """ input[0] = file( '$projectDir/tests/test_data/dataset_statistics/input/count.raw.cpm.quant_norm.parquet', checkIfExists: true) - input[1] = file( '$projectDir/tests/test_data/base_statistics/output/stats_all_genes.csv', checkIfExists: true) + input[1] = [ + file( '$projectDir/tests/test_data/base_statistics/output/section_1.stats_with_scores.csv', checkIfExists: true), + file( '$projectDir/tests/test_data/base_statistics/output/section_2.stats_with_scores.csv', checkIfExists: true) + ] input[2] = [ file( '$projectDir/tests/test_data/aggregate_results/rnaseq_stats_all_genes.csv', checkIfExists: true) ] input[3] = [] input[4] = file( '$projectDir/tests/test_data/aggregate_results/metadata.csv', checkIfExists: true) input[5] = file( '$projectDir/tests/test_data/aggregate_results/mapping.csv', checkIfExists: true) - input[6] = file( '$projectDir/assets/multiqc_config.yml', checkIfExists: true) + input[6] = file( '$projectDir/assets/multiqc_config.custom_content.template.yaml', checkIfExists: true) """ } } @@ -36,7 +39,10 @@ nextflow_process { process { """ input[0] = file( '$projectDir/tests/test_data/dataset_statistics/input/count.raw.cpm.quant_norm.parquet', checkIfExists: true) - input[1] = file( '$projectDir/tests/test_data/base_statistics/output/stats_all_genes.csv', checkIfExists: true) + input[1] = [ + file( '$projectDir/tests/test_data/base_statistics/output/section_1.stats_with_scores.csv', checkIfExists: true), + file( '$projectDir/tests/test_data/base_statistics/output/section_2.stats_with_scores.csv', checkIfExists: true) + ] input[2] = [ file( '$projectDir/tests/test_data/aggregate_results/rnaseq_stats_all_genes.csv', checkIfExists: true), file( '$projectDir/tests/test_data/aggregate_results/microarray_stats_all_genes.csv', checkIfExists: true) @@ -44,7 +50,38 @@ nextflow_process { input[3] = [] input[4] = file( '$projectDir/tests/test_data/aggregate_results/metadata.csv', checkIfExists: true) input[5] = file( '$projectDir/tests/test_data/aggregate_results/mapping.csv', checkIfExists: true) - input[6] = file( '$projectDir/assets/multiqc_config.yml', checkIfExists: true) + input[6] = file( '$projectDir/assets/multiqc_config.custom_content.template.yaml', checkIfExists: true) + """ + } + } + + then { + assertAll( + { assert process.success }, + { assert snapshot(process.out).match() } + ) + } + + } + + test("With valid target genes") { + + when { + process { + """ + input[0] = file( '$projectDir/tests/test_data/dataset_statistics/input/count.raw.cpm.quant_norm.parquet', checkIfExists: true) + input[1] = [ + file( '$projectDir/tests/test_data/base_statistics/output/section_1.stats_with_scores.csv', checkIfExists: true), + file( '$projectDir/tests/test_data/base_statistics/output/section_2.stats_with_scores.csv', checkIfExists: true) + ] + input[2] = [ + file( '$projectDir/tests/test_data/aggregate_results/rnaseq_stats_all_genes.csv', checkIfExists: true), + file( '$projectDir/tests/test_data/aggregate_results/microarray_stats_all_genes.csv', checkIfExists: true) + ] + input[3] = ["ENSRNA049454747", "ENSRNA049434246"] + input[4] = file( '$projectDir/tests/test_data/aggregate_results/metadata.csv', checkIfExists: true) + input[5] = file( '$projectDir/tests/test_data/aggregate_results/mapping.csv', checkIfExists: true) + input[6] = file( '$projectDir/assets/multiqc_config.custom_content.template.yaml', checkIfExists: true) """ } } @@ -58,21 +95,49 @@ nextflow_process { } - test("With target genes") { + test("One invalid target gene") { when { process { """ input[0] = file( '$projectDir/tests/test_data/dataset_statistics/input/count.raw.cpm.quant_norm.parquet', checkIfExists: true) - input[1] = file( '$projectDir/tests/test_data/base_statistics/output/stats_all_genes.csv', checkIfExists: true) + input[1] = [ + file( '$projectDir/tests/test_data/base_statistics/output/section_1.stats_with_scores.csv', checkIfExists: true), + file( '$projectDir/tests/test_data/base_statistics/output/section_2.stats_with_scores.csv', checkIfExists: true) + ] input[2] = [ file( '$projectDir/tests/test_data/aggregate_results/rnaseq_stats_all_genes.csv', checkIfExists: true), file( '$projectDir/tests/test_data/aggregate_results/microarray_stats_all_genes.csv', checkIfExists: true) ] - input[3] = ["ENSRNA049434199", "ENSRNA049434246"] + input[3] = ["ENSRNA049454747", "UNKNOWNGENEID1234"] + input[4] = file( '$projectDir/tests/test_data/aggregate_results/metadata.csv', checkIfExists: true) + input[5] = file( '$projectDir/tests/test_data/aggregate_results/mapping.csv', checkIfExists: true) + input[6] = file( '$projectDir/assets/multiqc_config.custom_content.template.yaml', checkIfExists: true) + """ + } + } + + then { + assertAll( + { assert process.success }, + { assert snapshot(process.out).match() } + ) + } + + } + + test("One section") { + + when { + process { + """ + input[0] = file( '$projectDir/tests/test_data/dataset_statistics/input/count.raw.cpm.quant_norm.parquet', checkIfExists: true) + input[1] = file( '$projectDir/tests/test_data/base_statistics/output/section_1.stats_with_scores.csv', checkIfExists: true) + input[2] = [ file( '$projectDir/tests/test_data/aggregate_results/rnaseq_stats_all_genes.csv', checkIfExists: true) ] + input[3] = [] input[4] = file( '$projectDir/tests/test_data/aggregate_results/metadata.csv', checkIfExists: true) input[5] = file( '$projectDir/tests/test_data/aggregate_results/mapping.csv', checkIfExists: true) - input[6] = file( '$projectDir/assets/multiqc_config.yml', checkIfExists: true) + input[6] = file( '$projectDir/assets/multiqc_config.custom_content.template.yaml', checkIfExists: true) """ } } diff --git a/tests/modules/local/aggregate_results/main.nf.test.snap b/tests/modules/local/aggregate_results/main.nf.test.snap index 1d4a2105..ea64f2ca 100644 --- a/tests/modules/local/aggregate_results/main.nf.test.snap +++ b/tests/modules/local/aggregate_results/main.nf.test.snap @@ -1,39 +1,63 @@ { - "With target genes": { + "With valid target genes": { "content": [ { "0": [ - + "all_genes_summary.csv:md5,67da835eca8de21309e7b3ec0f6a31f7" ], "1": [ - + [ + "section_1.most_stable_genes_summary.csv:md5,a4c693ec5ae3f4e0e5313811dd96fa21", + "section_2.most_stable_genes_summary.csv:md5,1c33432a2576231c821e52424113a65b" + ] ], "2": [ - + [ + "section_1.most_stable_genes_transposed_counts.csv:md5,30f84570c2104f7cfac4289d583b68cd", + "section_2.most_stable_genes_transposed_counts.csv:md5,3ffbb8370e2bdd0c1867610a51405260" + ] ], "3": [ - + "custom_content_multiqc_config.yaml:md5,edf372668919bebe05783bc16995c5c4" ], "4": [ - + [ + "AGGREGATE_RESULTS", + "python", + "3.14.3" + ] ], "5": [ - + [ + "AGGREGATE_RESULTS", + "polars", + "1.39.2" + ] ], "6": [ - + [ + "AGGREGATE_RESULTS", + "pyyaml", + "6.0.3" + ] ], "all_genes_summary": [ - + "all_genes_summary.csv:md5,67da835eca8de21309e7b3ec0f6a31f7" ], "custom_content_multiqc_config": [ - + "custom_content_multiqc_config.yaml:md5,edf372668919bebe05783bc16995c5c4" ], "most_stable_genes_summary": [ - + [ + "section_1.most_stable_genes_summary.csv:md5,a4c693ec5ae3f4e0e5313811dd96fa21", + "section_2.most_stable_genes_summary.csv:md5,1c33432a2576231c821e52424113a65b" + ] ], "most_stable_genes_transposed_counts_filtered": [ - + [ + "section_1.most_stable_genes_transposed_counts.csv:md5,30f84570c2104f7cfac4289d583b68cd", + "section_2.most_stable_genes_transposed_counts.csv:md5,3ffbb8370e2bdd0c1867610a51405260" + ] ] } ], @@ -41,43 +65,67 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-19T09:57:42.302887488" + "timestamp": "2026-04-01T09:37:44.641977973" }, "Without microarray": { "content": [ { "0": [ - + "all_genes_summary.csv:md5,62a7b6ba136e4e2f7ab954386a6fbe5e" ], "1": [ - + [ + "section_1.most_stable_genes_summary.csv:md5,8f75c2b1041d3cea08f13dfa05378a78", + "section_2.most_stable_genes_summary.csv:md5,edc6b56e2f4710c490906cd8c9a54790" + ] ], "2": [ - + [ + "section_1.most_stable_genes_transposed_counts.csv:md5,30f84570c2104f7cfac4289d583b68cd", + "section_2.most_stable_genes_transposed_counts.csv:md5,3ffbb8370e2bdd0c1867610a51405260" + ] ], "3": [ - + "custom_content_multiqc_config.yaml:md5,3b4d962847a26bdc7c0fa34c4fcff168" ], "4": [ - + [ + "AGGREGATE_RESULTS", + "python", + "3.14.3" + ] ], "5": [ - + [ + "AGGREGATE_RESULTS", + "polars", + "1.39.2" + ] ], "6": [ - + [ + "AGGREGATE_RESULTS", + "pyyaml", + "6.0.3" + ] ], "all_genes_summary": [ - + "all_genes_summary.csv:md5,62a7b6ba136e4e2f7ab954386a6fbe5e" ], "custom_content_multiqc_config": [ - + "custom_content_multiqc_config.yaml:md5,3b4d962847a26bdc7c0fa34c4fcff168" ], "most_stable_genes_summary": [ - + [ + "section_1.most_stable_genes_summary.csv:md5,8f75c2b1041d3cea08f13dfa05378a78", + "section_2.most_stable_genes_summary.csv:md5,edc6b56e2f4710c490906cd8c9a54790" + ] ], "most_stable_genes_transposed_counts_filtered": [ - + [ + "section_1.most_stable_genes_transposed_counts.csv:md5,30f84570c2104f7cfac4289d583b68cd", + "section_2.most_stable_genes_transposed_counts.csv:md5,3ffbb8370e2bdd0c1867610a51405260" + ] ] } ], @@ -85,43 +133,191 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-19T09:57:12.065279677" + "timestamp": "2026-03-30T14:06:37.615799808" + }, + "One invalid target gene": { + "content": [ + { + "0": [ + "all_genes_summary.csv:md5,67da835eca8de21309e7b3ec0f6a31f7" + ], + "1": [ + [ + "section_1.most_stable_genes_summary.csv:md5,a4c693ec5ae3f4e0e5313811dd96fa21", + "section_2.most_stable_genes_summary.csv:md5,1c33432a2576231c821e52424113a65b" + ] + ], + "2": [ + [ + "section_1.most_stable_genes_transposed_counts.csv:md5,30f84570c2104f7cfac4289d583b68cd", + "section_2.most_stable_genes_transposed_counts.csv:md5,3ffbb8370e2bdd0c1867610a51405260" + ] + ], + "3": [ + "custom_content_multiqc_config.yaml:md5,401b9b35a47e29a8dfac3ca7700e26bd" + ], + "4": [ + [ + "AGGREGATE_RESULTS", + "python", + "3.14.3" + ] + ], + "5": [ + [ + "AGGREGATE_RESULTS", + "polars", + "1.39.2" + ] + ], + "6": [ + [ + "AGGREGATE_RESULTS", + "pyyaml", + "6.0.3" + ] + ], + "all_genes_summary": [ + "all_genes_summary.csv:md5,67da835eca8de21309e7b3ec0f6a31f7" + ], + "custom_content_multiqc_config": [ + "custom_content_multiqc_config.yaml:md5,401b9b35a47e29a8dfac3ca7700e26bd" + ], + "most_stable_genes_summary": [ + [ + "section_1.most_stable_genes_summary.csv:md5,a4c693ec5ae3f4e0e5313811dd96fa21", + "section_2.most_stable_genes_summary.csv:md5,1c33432a2576231c821e52424113a65b" + ] + ], + "most_stable_genes_transposed_counts_filtered": [ + [ + "section_1.most_stable_genes_transposed_counts.csv:md5,30f84570c2104f7cfac4289d583b68cd", + "section_2.most_stable_genes_transposed_counts.csv:md5,3ffbb8370e2bdd0c1867610a51405260" + ] + ] + } + ], + "meta": { + "nf-test": "0.9.3", + "nextflow": "25.10.4" + }, + "timestamp": "2026-03-30T14:47:07.501875225" + }, + "One section": { + "content": [ + { + "0": [ + "all_genes_summary.csv:md5,d2d279f4c5243b3af01130ca04b5603d" + ], + "1": [ + "section_1.most_stable_genes_summary.csv:md5,8f75c2b1041d3cea08f13dfa05378a78" + ], + "2": [ + "section_1.most_stable_genes_transposed_counts.csv:md5,30f84570c2104f7cfac4289d583b68cd" + ], + "3": [ + "custom_content_multiqc_config.yaml:md5,4941e220852b2c814302f508cf5837cd" + ], + "4": [ + [ + "AGGREGATE_RESULTS", + "python", + "3.14.3" + ] + ], + "5": [ + [ + "AGGREGATE_RESULTS", + "polars", + "1.39.2" + ] + ], + "6": [ + [ + "AGGREGATE_RESULTS", + "pyyaml", + "6.0.3" + ] + ], + "all_genes_summary": [ + "all_genes_summary.csv:md5,d2d279f4c5243b3af01130ca04b5603d" + ], + "custom_content_multiqc_config": [ + "custom_content_multiqc_config.yaml:md5,4941e220852b2c814302f508cf5837cd" + ], + "most_stable_genes_summary": [ + "section_1.most_stable_genes_summary.csv:md5,8f75c2b1041d3cea08f13dfa05378a78" + ], + "most_stable_genes_transposed_counts_filtered": [ + "section_1.most_stable_genes_transposed_counts.csv:md5,30f84570c2104f7cfac4289d583b68cd" + ] + } + ], + "meta": { + "nf-test": "0.9.3", + "nextflow": "25.10.4" + }, + "timestamp": "2026-03-30T14:47:13.474058057" }, "With microarray": { "content": [ { "0": [ - + "all_genes_summary.csv:md5,67da835eca8de21309e7b3ec0f6a31f7" ], "1": [ - + [ + "section_1.most_stable_genes_summary.csv:md5,a4c693ec5ae3f4e0e5313811dd96fa21", + "section_2.most_stable_genes_summary.csv:md5,1c33432a2576231c821e52424113a65b" + ] ], "2": [ - + [ + "section_1.most_stable_genes_transposed_counts.csv:md5,30f84570c2104f7cfac4289d583b68cd", + "section_2.most_stable_genes_transposed_counts.csv:md5,3ffbb8370e2bdd0c1867610a51405260" + ] ], "3": [ - + "custom_content_multiqc_config.yaml:md5,3b4d962847a26bdc7c0fa34c4fcff168" ], "4": [ - + [ + "AGGREGATE_RESULTS", + "python", + "3.14.3" + ] ], "5": [ - + [ + "AGGREGATE_RESULTS", + "polars", + "1.39.2" + ] ], "6": [ - + [ + "AGGREGATE_RESULTS", + "pyyaml", + "6.0.3" + ] ], "all_genes_summary": [ - + "all_genes_summary.csv:md5,67da835eca8de21309e7b3ec0f6a31f7" ], "custom_content_multiqc_config": [ - + "custom_content_multiqc_config.yaml:md5,3b4d962847a26bdc7c0fa34c4fcff168" ], "most_stable_genes_summary": [ - + [ + "section_1.most_stable_genes_summary.csv:md5,a4c693ec5ae3f4e0e5313811dd96fa21", + "section_2.most_stable_genes_summary.csv:md5,1c33432a2576231c821e52424113a65b" + ] ], "most_stable_genes_transposed_counts_filtered": [ - + [ + "section_1.most_stable_genes_transposed_counts.csv:md5,30f84570c2104f7cfac4289d583b68cd", + "section_2.most_stable_genes_transposed_counts.csv:md5,3ffbb8370e2bdd0c1867610a51405260" + ] ] } ], @@ -129,6 +325,6 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-19T09:57:27.141519642" + "timestamp": "2026-03-30T14:46:55.231695582" } } \ No newline at end of file diff --git a/tests/modules/local/compute_dataset_statistics/main.nf.test.snap b/tests/modules/local/compute_dataset_statistics/main.nf.test.snap index 6a603294..66e5c2e9 100644 --- a/tests/modules/local/compute_dataset_statistics/main.nf.test.snap +++ b/tests/modules/local/compute_dataset_statistics/main.nf.test.snap @@ -4,7 +4,531 @@ { "0": [ [ - "test", + [ + [ + [ + [ + [ + "000003.log:md5,81cfe70a33cfdabbb4092b65ea197bf1", + "CURRENT:md5,206702161f94c5cd39fadd03f4014d98", + "LOCK:md5,d41d8cd98f00b204e9800998ecf8427e", + 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b/tests/modules/local/compute_gene_statistics/main.nf.test.snap index a2cba805..0e7756f2 100644 --- a/tests/modules/local/compute_gene_statistics/main.nf.test.snap +++ b/tests/modules/local/compute_gene_statistics/main.nf.test.snap @@ -3,16 +3,24 @@ "content": [ { "0": [ - + "rnaseq.stats_all_genes.csv:md5,e2a15d08a3ada8daba6d5b834dbe1de7" ], "1": [ - + [ + "COMPUTE_GENE_STATISTICS", + "python", + "3.14.3" + ] ], "2": [ - + [ + "COMPUTE_GENE_STATISTICS", + "polars", + "1.39.2" + ] ], "stats": [ - + "rnaseq.stats_all_genes.csv:md5,e2a15d08a3ada8daba6d5b834dbe1de7" ] } ], @@ -20,52 +28,68 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-19T10:09:35.43490924" + "timestamp": "2026-03-30T14:48:46.011713833" }, "No platform": { "content": [ { "0": [ - + "stats_all_genes.csv:md5,42e9e52c43527e80489294a2c2dbbec0" ], "1": [ - + [ + "COMPUTE_GENE_STATISTICS", + "python", + "3.14.3" + ] ], "2": [ - + [ + "COMPUTE_GENE_STATISTICS", + "polars", + "1.39.2" + ] ], "stats": [ - + "stats_all_genes.csv:md5,42e9e52c43527e80489294a2c2dbbec0" ] } ], "meta": { - "nf-test": "0.9.2", - "nextflow": "25.04.8" + "nf-test": "0.9.3", + "nextflow": "25.10.4" }, - "timestamp": "2025-12-03T18:51:55.581816062" + "timestamp": "2026-03-30T14:48:33.525954126" }, "RNAseq platform": { "content": [ { "0": [ - + "rnaseq.stats_all_genes.csv:md5,e2a15d08a3ada8daba6d5b834dbe1de7" ], "1": [ - + [ + "COMPUTE_GENE_STATISTICS", + "python", + "3.14.3" + ] ], "2": [ - + [ + "COMPUTE_GENE_STATISTICS", + "polars", + "1.39.2" + ] ], "stats": [ - + "rnaseq.stats_all_genes.csv:md5,e2a15d08a3ada8daba6d5b834dbe1de7" ] } ], "meta": { - "nf-test": "0.9.2", - "nextflow": "25.04.8" + "nf-test": "0.9.3", + "nextflow": "25.10.4" }, - "timestamp": "2025-12-03T18:52:06.262096663" + "timestamp": "2026-03-30T14:48:39.77826003" } } \ No newline at end of file diff --git a/tests/modules/local/compute_stability_scores/main.nf.test b/tests/modules/local/compute_stability_scores/main.nf.test index 212e4777..275fdf75 100644 --- a/tests/modules/local/compute_stability_scores/main.nf.test +++ b/tests/modules/local/compute_stability_scores/main.nf.test @@ -14,7 +14,7 @@ nextflow_process { [section: "section_1"], file( '$projectDir/tests/test_data/compute_stability_scores/input/stability_values.normfinder.csv', checkIfExists: true), file( '$projectDir/tests/test_data/compute_stability_scores/input/genorm.m_measures.csv', checkIfExists: true), - file( '$projectDir/tests/test_data/compute_stability_scores/input/stats_all_genes.csv', checkIfExists: true), + file( '$projectDir/tests/test_data/compute_stability_scores/input/stats_all_genes.parquet', checkIfExists: true), ] input[1] = "0.8,0.1,0.1,0.1" """ @@ -39,7 +39,7 @@ nextflow_process { [section: "section_1"], file( '$projectDir/tests/test_data/compute_stability_scores/input/stability_values.normfinder.csv', checkIfExists: true), [], - file( '$projectDir/tests/test_data/compute_stability_scores/input/stats_all_genes.csv', checkIfExists: true), + file( '$projectDir/tests/test_data/compute_stability_scores/input/stats_all_genes.parquet', checkIfExists: true), ] input[1] = "0.8,0.1,0.1,0.1" """ diff --git a/tests/modules/local/compute_stability_scores/main.nf.test.snap b/tests/modules/local/compute_stability_scores/main.nf.test.snap index 285f5df7..5b386ca1 100644 --- a/tests/modules/local/compute_stability_scores/main.nf.test.snap +++ b/tests/modules/local/compute_stability_scores/main.nf.test.snap @@ -3,16 +3,24 @@ "content": [ { "0": [ - + "section_1.stats_with_scores.csv:md5,7b1dd3c6e4a666561ca6ebe14aae7b74" ], "1": [ - + [ + "COMPUTE_STABILITY_SCORES", + "python", + "3.14.3" + ] ], "2": [ - + [ + "COMPUTE_STABILITY_SCORES", + "polars", + "1.39.2" + ] ], "stats_with_stability_scores": [ - + "section_1.stats_with_scores.csv:md5,7b1dd3c6e4a666561ca6ebe14aae7b74" ] } ], @@ -20,22 +28,30 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-19T10:34:26.469017868" + "timestamp": "2026-03-30T15:20:22.075756497" }, "Without Genorm": { "content": [ { "0": [ - + "section_1.stats_with_scores.csv:md5,bdf823d07ed6fed0313e5cf2ce1811a6" ], "1": [ - + [ + "COMPUTE_STABILITY_SCORES", + "python", + "3.14.3" + ] ], "2": [ - + [ + "COMPUTE_STABILITY_SCORES", + "polars", + "1.39.2" + ] ], "stats_with_stability_scores": [ - + "section_1.stats_with_scores.csv:md5,bdf823d07ed6fed0313e5cf2ce1811a6" ] } ], @@ -43,6 +59,6 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-19T10:34:40.117719433" + "timestamp": "2026-03-30T15:20:28.206402711" } } \ No newline at end of file diff --git a/tests/modules/local/expressionatlas/getdata/main.nf.test b/tests/modules/local/expressionatlas/getdata/main.nf.test index 4558f426..5af0b2a7 100644 --- a/tests/modules/local/expressionatlas/getdata/main.nf.test +++ b/tests/modules/local/expressionatlas/getdata/main.nf.test @@ -21,6 +21,7 @@ nextflow_process { then { assertAll( { assert process.success }, + { assert process.exitStatus == 0 }, { assert snapshot(process.out).match() } ) } @@ -43,6 +44,7 @@ nextflow_process { then { assertAll( { assert process.success }, + { assert process.exitStatus == 0 }, { assert snapshot(process.out).match() } ) } @@ -65,6 +67,7 @@ nextflow_process { then { assertAll( { assert process.success }, + { assert process.exitStatus == 0 }, { assert snapshot(process.out).match() } ) } @@ -88,6 +91,7 @@ nextflow_process { then { assertAll( { assert process.success }, + { assert process.exitStatus == 0 }, { assert process.out.counts.size() == 0 }, { assert process.out.design.size() == 0 } ) @@ -112,6 +116,7 @@ nextflow_process { then { assertAll( { assert process.success }, + { assert process.exitStatus == 0 }, { assert process.out.counts.size() == 0 }, { assert process.out.design.size() == 0 } ) @@ -136,6 +141,7 @@ nextflow_process { then { assertAll( { assert process.success }, + { assert process.exitStatus == 0 }, { assert process.out.counts.size() == 0 }, { assert process.out.design.size() == 0 } ) @@ -160,6 +166,7 @@ nextflow_process { then { assertAll( { assert process.success }, + { assert process.exitStatus == 0 }, { assert process.out.counts.size() == 0 }, { assert process.out.design.size() == 0 } ) @@ -184,6 +191,7 @@ nextflow_process { then { assertAll( { assert process.success }, + { assert process.exitStatus == 0 }, { assert process.out.counts.size() == 0 }, { assert process.out.design.size() == 0 } ) diff --git a/tests/modules/local/filter_and_rename_genes/main.nf.test.snap b/tests/modules/local/filter_and_rename_genes/main.nf.test.snap index ae1b19d7..ff1ec5f7 100644 --- a/tests/modules/local/filter_and_rename_genes/main.nf.test.snap +++ b/tests/modules/local/filter_and_rename_genes/main.nf.test.snap @@ -7,7 +7,531 @@ ], "1": [ [ - "test", + [ + [ + [ + [ + [ + "000003.log:md5,81cfe70a33cfdabbb4092b65ea197bf1", + "CURRENT:md5,206702161f94c5cd39fadd03f4014d98", + "LOCK:md5,d41d8cd98f00b204e9800998ecf8427e", + 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".nextflow.log:md5,19e4c8717fc63227cba0688f229cc417", + ".nextflow.log.1:md5,fed90aecf6182bd73fc58589fb52fef6", + ".nextflow.log.2:md5,f0db37eae726c1a3e3ca071f447d429b", + ".nextflow.log.3:md5,fc8ccb6194da084a106096e3a0e6d598", + ".nextflow.log.4:md5,418deebcb662be470a76f3897adb5063", + ".nextflow.log.5:md5,11a9ff9c75737345e1b748fe9af1c9cd", + ".nextflow.log.6:md5,fd3a119a8c01f892f1c5eb9c8c96903d", + ".nextflow.log.7:md5,351a11a53179f0f27b108876532efc50", + ".nextflow.log.8:md5,44265beae81b32fdb9a97db657091fbb", + ".nextflow.log.9:md5,bc272879abe710921f903b59191f4711", + [ + "test.sh:md5,5d42218e7c0a652bb8b7cde71fd2cff4" + ], + "test.config:md5,1e3b38b5f21268d59ffd82e89fbdf7be", + "test.nf:md5,03c3379e5f2bc65d4bed3717305f60f2" + ], "0", "0", "3", diff --git a/tests/modules/local/genorm/compute_m_measure/main.nf.test.snap b/tests/modules/local/genorm/compute_m_measure/main.nf.test.snap index 69ca2500..767f3dd7 100644 --- a/tests/modules/local/genorm/compute_m_measure/main.nf.test.snap +++ b/tests/modules/local/genorm/compute_m_measure/main.nf.test.snap @@ -3,16 +3,34 @@ "content": [ { "0": [ - + [ + { + "section": "section_1" + }, + "m_measures.csv:md5,2119b16fe13e2d0bc0fedc3c9d3d1733" + ] ], "1": [ - + [ + "COMPUTE_M_MEASURE", + "python", + "3.14.3" + ] ], "2": [ - + [ + "COMPUTE_M_MEASURE", + "polars", + "1.39.2" + ] ], "m_measures": [ - + [ + { + "section": "section_1" + }, + "m_measures.csv:md5,2119b16fe13e2d0bc0fedc3c9d3d1733" + ] ] } ], @@ -20,6 +38,6 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-19T10:37:14.114647032" + "timestamp": "2026-03-30T15:40:23.09370734" } } \ No newline at end of file diff --git a/tests/modules/local/genorm/cross_join/main.nf.test.snap b/tests/modules/local/genorm/cross_join/main.nf.test.snap index 9325e1c2..50d11bc4 100644 --- a/tests/modules/local/genorm/cross_join/main.nf.test.snap +++ b/tests/modules/local/genorm/cross_join/main.nf.test.snap @@ -9,7 +9,7 @@ "index_1": 0, "index_2": 1 }, - "cross_join.0.1.parquet:md5,4557570a16dce055584692d68ea29ec8" + "cross_join.0.1.parquet:md5,10d5591947a85f788dd6db61a1486f14" ] ], "1": [ @@ -33,7 +33,7 @@ "index_1": 0, "index_2": 1 }, - "cross_join.0.1.parquet:md5,4557570a16dce055584692d68ea29ec8" + "cross_join.0.1.parquet:md5,10d5591947a85f788dd6db61a1486f14" ] ] } @@ -42,6 +42,6 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-19T12:20:27.090508116" + "timestamp": "2026-03-30T15:40:29.248178717" } } \ No newline at end of file diff --git a/tests/modules/local/genorm/expression_ratio/main.nf.test.snap b/tests/modules/local/genorm/expression_ratio/main.nf.test.snap index 1cf86e59..a9e492ef 100644 --- a/tests/modules/local/genorm/expression_ratio/main.nf.test.snap +++ b/tests/modules/local/genorm/expression_ratio/main.nf.test.snap @@ -3,23 +3,45 @@ "content": [ { "0": [ - + [ + { + "section": "section_1", + "index_1": 0, + "index_2": 1 + }, + "ratios.0.1.parquet:md5,dd929c967bc78a650c33eb0885544f50" + ] ], "1": [ - + [ + "EXPRESSION_RATIO", + "python", + "3.14.3" + ] ], "2": [ - + [ + "EXPRESSION_RATIO", + "polars", + "1.39.2" + ] ], "data": [ - + [ + { + "section": "section_1", + "index_1": 0, + "index_2": 1 + }, + "ratios.0.1.parquet:md5,dd929c967bc78a650c33eb0885544f50" + ] ] } ], "meta": { - "nf-test": "0.9.2", - "nextflow": "25.04.8" + "nf-test": "0.9.3", + "nextflow": "25.10.4" }, - "timestamp": "2025-12-03T18:55:17.991614786" + "timestamp": "2026-04-01T09:41:39.459415462" } } \ No newline at end of file diff --git a/tests/modules/local/genorm/make_chunks/main.nf.test.snap b/tests/modules/local/genorm/make_chunks/main.nf.test.snap index 4b06bf77..5b2f00be 100644 --- a/tests/modules/local/genorm/make_chunks/main.nf.test.snap +++ b/tests/modules/local/genorm/make_chunks/main.nf.test.snap @@ -3,23 +3,63 @@ "content": [ { "0": [ - + [ + { + "section": "section_1" + }, + [ + "count_chunk.0.parquet:md5,2b49edb51f57065edec0dbbc3b50cd03", + "count_chunk.1.parquet:md5,a229839cc11b60b51d75e69bda1b079e", + "count_chunk.2.parquet:md5,79e06a8d5438a1fd8c35bb7e861bbb2f", + "count_chunk.3.parquet:md5,b4b75fd8c257684914ea81acec63c7b2", + "count_chunk.4.parquet:md5,938d6eb757a2114fba7c37cb79917fdb", + "count_chunk.5.parquet:md5,7de0a7158eaf28de2728ad10ed68fea3", + "count_chunk.6.parquet:md5,b7bb9a8ed8578bbf661d60dc0cc43a09", + "count_chunk.7.parquet:md5,d424e46fbcab660f7994086d95d83955", + "count_chunk.8.parquet:md5,5411ffdabeda55de3d67ae8cc32e0276", + "count_chunk.9.parquet:md5,484ecc44837b0a0f3098bff5a8144853" + ] + ] ], "1": [ - + [ + "MAKE_CHUNKS", + "python", + "3.14.3" + ] ], "2": [ - + [ + "MAKE_CHUNKS", + "polars", + "1.39.2" + ] ], "chunks": [ - + [ + { + "section": "section_1" + }, + [ + "count_chunk.0.parquet:md5,2b49edb51f57065edec0dbbc3b50cd03", + "count_chunk.1.parquet:md5,a229839cc11b60b51d75e69bda1b079e", + "count_chunk.2.parquet:md5,79e06a8d5438a1fd8c35bb7e861bbb2f", + "count_chunk.3.parquet:md5,b4b75fd8c257684914ea81acec63c7b2", + "count_chunk.4.parquet:md5,938d6eb757a2114fba7c37cb79917fdb", + "count_chunk.5.parquet:md5,7de0a7158eaf28de2728ad10ed68fea3", + "count_chunk.6.parquet:md5,b7bb9a8ed8578bbf661d60dc0cc43a09", + "count_chunk.7.parquet:md5,d424e46fbcab660f7994086d95d83955", + "count_chunk.8.parquet:md5,5411ffdabeda55de3d67ae8cc32e0276", + "count_chunk.9.parquet:md5,484ecc44837b0a0f3098bff5a8144853" + ] + ] ] } ], "meta": { - "nf-test": "0.9.2", - "nextflow": "25.04.8" + "nf-test": "0.9.3", + "nextflow": "25.10.4" }, - "timestamp": "2025-12-03T18:55:28.842433752" + "timestamp": "2026-03-30T15:40:46.563584649" } } \ No newline at end of file diff --git a/tests/modules/local/genorm/ratio_standard_variation/main.nf.test.snap b/tests/modules/local/genorm/ratio_standard_variation/main.nf.test.snap index 087dae8c..6f29543d 100644 --- a/tests/modules/local/genorm/ratio_standard_variation/main.nf.test.snap +++ b/tests/modules/local/genorm/ratio_standard_variation/main.nf.test.snap @@ -3,23 +3,45 @@ "content": [ { "0": [ - + [ + { + "section": "section_1", + "index_1": 0, + "index_2": 1 + }, + "std.0.1.parquet:md5,10e262fc1dff8efe522a2efcee6ccb87" + ] ], "1": [ - + [ + "RATIO_STANDARD_VARIATION", + "python", + "3.14.3" + ] ], "2": [ - + [ + "RATIO_STANDARD_VARIATION", + "polars", + "1.39.2" + ] ], "data": [ - + [ + { + "section": "section_1", + "index_1": 0, + "index_2": 1 + }, + "std.0.1.parquet:md5,10e262fc1dff8efe522a2efcee6ccb87" + ] ] } ], "meta": { - "nf-test": "0.9.2", - "nextflow": "25.04.8" + "nf-test": "0.9.3", + "nextflow": "25.10.4" }, - "timestamp": "2025-12-03T18:55:39.031631857" + "timestamp": "2026-04-01T09:41:51.590963847" } } \ No newline at end of file diff --git a/tests/modules/local/geo/getdata/main.nf.test b/tests/modules/local/geo/getdata/main.nf.test index 3bd8092a..25d6dcbc 100644 --- a/tests/modules/local/geo/getdata/main.nf.test +++ b/tests/modules/local/geo/getdata/main.nf.test @@ -5,7 +5,7 @@ nextflow_process { process "GEO_GETDATA" tag "geo_getdata" -/* + test("Beta vulgaris - Small RNA of sugar beet in response to drought stress") { when { @@ -24,6 +24,7 @@ nextflow_process { then { assertAll( { assert process.success }, + { assert process.exitStatus == 0 }, { assert snapshot(process.out).match() } ) } @@ -47,6 +48,7 @@ nextflow_process { then { assertAll( { assert process.success }, + { assert process.exitStatus == 0 }, { assert snapshot(process.out).match() } ) } @@ -71,6 +73,7 @@ nextflow_process { then { assertAll( { assert process.success }, + { assert process.exitStatus == 0 }, { assert snapshot(process.out).match() } ) } @@ -95,6 +98,7 @@ nextflow_process { then { assertAll( { assert process.success }, + { assert process.exitStatus == 0 }, { assert snapshot(process.out).match() } ) } @@ -119,6 +123,7 @@ nextflow_process { then { assertAll( { assert process.success }, + { assert process.exitStatus == 0 }, { assert snapshot(process.out).match() } ) } @@ -143,6 +148,7 @@ nextflow_process { then { assertAll( { assert process.success }, + { assert process.exitStatus == 0 }, { assert snapshot(process.out).match() } ) } @@ -167,6 +173,7 @@ nextflow_process { then { assertAll( { assert process.success }, + { assert process.exitStatus == 0 }, { assert snapshot(process.out).match() } ) } @@ -191,6 +198,7 @@ nextflow_process { then { assertAll( { assert process.success }, + { assert process.exitStatus == 0 }, { assert process.out.counts.size() == 0 }, { assert snapshot(process.out).match() } ) @@ -216,12 +224,12 @@ nextflow_process { then { assertAll( { assert process.success }, + { assert process.exitStatus == 0 }, { assert process.out.counts.size() == 0 }, { assert snapshot(process.out).match() } ) } } - */ } diff --git a/tests/modules/local/geo/getdata/main.nf.test.snap b/tests/modules/local/geo/getdata/main.nf.test.snap index 79e5e54a..42c55c74 100644 --- a/tests/modules/local/geo/getdata/main.nf.test.snap +++ b/tests/modules/local/geo/getdata/main.nf.test.snap @@ -21,21 +21,21 @@ [ "GEO_GETDATA", "R", - "4.4.3 (2025-02-28)" + "4.5.3 (2026-03-11)" ] ], "6": [ [ "GEO_GETDATA", "GEOquery", - "2.74.0" + "2.78.0" ] ], "7": [ [ "GEO_GETDATA", "dplyr", - "1.1.4" + "1.2.0" ] ], "counts": [ @@ -51,9 +51,9 @@ ], "meta": { "nf-test": "0.9.3", - "nextflow": "25.10.2" + "nextflow": "25.10.4" }, - "timestamp": "2025-12-11T15:57:14.702700023" + "timestamp": "2026-03-30T14:54:35.640938644" }, "Drosophila simulans - No data found": { "content": [ @@ -77,21 +77,21 @@ [ "GEO_GETDATA", "R", - "4.4.3 (2025-02-28)" + "4.5.3 (2026-03-11)" ] ], "6": [ [ "GEO_GETDATA", "GEOquery", - "2.74.0" + "2.78.0" ] ], "7": [ [ "GEO_GETDATA", "dplyr", - "1.1.4" + "1.2.0" ] ], "counts": [ @@ -107,9 +107,9 @@ ], "meta": { "nf-test": "0.9.3", - "nextflow": "25.10.2" + "nextflow": "25.10.4" }, - "timestamp": "2025-12-11T15:56:37.133179219" + "timestamp": "2026-03-30T14:54:07.057142353" }, "Drosophila simulans - Mismatch in suppl data colnames / design": { "content": [ @@ -133,21 +133,21 @@ [ "GEO_GETDATA", "R", - "4.4.3 (2025-02-28)" + "4.5.3 (2026-03-11)" ] ], "6": [ [ "GEO_GETDATA", "GEOquery", - "2.74.0" + "2.78.0" ] ], "7": [ [ "GEO_GETDATA", "dplyr", - "1.1.4" + "1.2.0" ] ], "counts": [ @@ -163,9 +163,9 @@ ], "meta": { "nf-test": "0.9.3", - "nextflow": "25.10.2" + "nextflow": "25.10.4" }, - "timestamp": "2025-12-11T15:57:39.828336686" + "timestamp": "2026-03-30T14:54:54.838651132" }, "Accession does not exist": { "content": [ @@ -189,21 +189,21 @@ [ "GEO_GETDATA", "R", - "4.4.3 (2025-02-28)" + "4.5.3 (2026-03-11)" ] ], "6": [ [ "GEO_GETDATA", "GEOquery", - "2.74.0" + "2.78.0" ] ], "7": [ [ "GEO_GETDATA", "dplyr", - "1.1.4" + "1.2.0" ] ], "counts": [ @@ -219,9 +219,9 @@ ], "meta": { "nf-test": "0.9.3", - "nextflow": "25.10.2" + "nextflow": "25.10.4" }, - "timestamp": "2025-12-11T15:56:24.827278212" + "timestamp": "2026-03-30T14:53:48.164404869" }, "Drosophila simulans - Expression profiling by array": { "content": [ @@ -245,21 +245,21 @@ [ "GEO_GETDATA", "R", - "4.4.3 (2025-02-28)" + "4.5.3 (2026-03-11)" ] ], "6": [ [ "GEO_GETDATA", "GEOquery", - "2.74.0" + "2.78.0" ] ], "7": [ [ "GEO_GETDATA", "dplyr", - "1.1.4" + "1.2.0" ] ], "counts": [ @@ -275,9 +275,9 @@ ], "meta": { "nf-test": "0.9.3", - "nextflow": "25.10.2" + "nextflow": "25.10.4" }, - "timestamp": "2025-12-11T15:56:49.691858912" + "timestamp": "2026-03-30T14:54:16.400915284" }, "Drosophila simulans - Expression profiling by high throughput sequencing / Some raw counts found": { "content": [ @@ -301,21 +301,21 @@ [ "GEO_GETDATA", "R", - "4.4.3 (2025-02-28)" + "4.5.3 (2026-03-11)" ] ], "6": [ [ "GEO_GETDATA", "GEOquery", - "2.74.0" + "2.78.0" ] ], "7": [ [ "GEO_GETDATA", "dplyr", - "1.1.4" + "1.2.0" ] ], "counts": [ @@ -331,9 +331,9 @@ ], "meta": { "nf-test": "0.9.3", - "nextflow": "25.10.2" + "nextflow": "25.10.4" }, - "timestamp": "2025-12-11T15:57:02.033741199" + "timestamp": "2026-03-30T14:54:25.947789471" }, "Drosophila simulans - Only series suppl data but multiple species": { "content": [ @@ -357,21 +357,21 @@ [ "GEO_GETDATA", "R", - "4.4.3 (2025-02-28)" + "4.5.3 (2026-03-11)" ] ], "6": [ [ "GEO_GETDATA", "GEOquery", - "2.74.0" + "2.78.0" ] ], "7": [ [ "GEO_GETDATA", "dplyr", - "1.1.4" + "1.2.0" ] ], "counts": [ @@ -387,9 +387,65 @@ ], "meta": { "nf-test": "0.9.3", - "nextflow": "25.10.2" + "nextflow": "25.10.4" }, - "timestamp": "2025-12-11T15:57:27.287712988" + "timestamp": "2026-03-30T14:54:45.272163295" + }, + "Drosophila simulans - Only one sample among several": { + "content": [ + { + "0": [ + + ], + "1": [ + + ], + "2": [ + + ], + "3": [ + + ], + "4": [ + + ], + "5": [ + [ + "GEO_GETDATA", + "R", + "4.5.3 (2026-03-11)" + ] + ], + "6": [ + [ + "GEO_GETDATA", + "GEOquery", + "2.78.0" + ] + ], + "7": [ + [ + "GEO_GETDATA", + "dplyr", + "1.2.0" + ] + ], + "counts": [ + + ], + "design": [ + + ], + "rejected": [ + + ] + } + ], + "meta": { + "nf-test": "0.9.3", + "nextflow": "25.10.4" + }, + "timestamp": "2026-03-30T14:53:57.533758257" }, "Beta vulgaris - Small RNA of sugar beet in response to drought stress": { "content": [ @@ -413,21 +469,21 @@ [ "GEO_GETDATA", "R", - "4.4.3 (2025-02-28)" + "4.5.3 (2026-03-11)" ] ], "6": [ [ "GEO_GETDATA", "GEOquery", - "2.74.0" + "2.78.0" ] ], "7": [ [ "GEO_GETDATA", "dplyr", - "1.1.4" + "1.2.0" ] ], "counts": [ @@ -443,8 +499,8 @@ ], "meta": { "nf-test": "0.9.3", - "nextflow": "25.10.2" + "nextflow": "25.10.4" }, - "timestamp": "2025-12-11T15:56:12.348217731" + "timestamp": "2026-03-30T14:53:38.690525862" } } \ No newline at end of file diff --git a/tests/modules/local/get_candidate_genes/main.nf.test.snap b/tests/modules/local/get_candidate_genes/main.nf.test.snap index 2aea5eb1..7b869fd2 100644 --- a/tests/modules/local/get_candidate_genes/main.nf.test.snap +++ b/tests/modules/local/get_candidate_genes/main.nf.test.snap @@ -3,22 +3,46 @@ "content": [ { "0": [ - + [ + "section_1.candidate_counts.parquet:md5,7d1a1996214fb07741f2ad5c286fbc69", + "section_2.candidate_counts.parquet:md5,9e2de0ea75c3f839e38690f3d9a57b0b", + "section_3.candidate_counts.parquet:md5,860cdeb5dbfe7d24b2c12635ea85c10e" + ] ], "1": [ - + [ + "section_1.stats.parquet:md5,3414fd57e9bf4f221b2df93be2e890a2", + "section_2.stats.parquet:md5,99b7bcc7944c77eb569b688c640d70f2", + "section_3.stats.parquet:md5,752dbfb5699fbe6847ac17a4fb6da51a" + ] ], "2": [ - + [ + "GET_CANDIDATE_GENES", + "python", + "3.14.3" + ] ], "3": [ - + [ + "GET_CANDIDATE_GENES", + "polars", + "1.39.2" + ] ], "counts": [ - + [ + "section_1.candidate_counts.parquet:md5,7d1a1996214fb07741f2ad5c286fbc69", + "section_2.candidate_counts.parquet:md5,9e2de0ea75c3f839e38690f3d9a57b0b", + "section_3.candidate_counts.parquet:md5,860cdeb5dbfe7d24b2c12635ea85c10e" + ] ], "section_stats": [ - + [ + "section_1.stats.parquet:md5,3414fd57e9bf4f221b2df93be2e890a2", + "section_2.stats.parquet:md5,99b7bcc7944c77eb569b688c640d70f2", + "section_3.stats.parquet:md5,752dbfb5699fbe6847ac17a4fb6da51a" + ] ] } ], @@ -26,28 +50,76 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-19T11:08:18.393343254" + "timestamp": "2026-03-30T17:07:03.292271274" }, "Too many sections": { "content": [ { "0": [ - + [ + "section_12.candidate_counts.parquet:md5,df8b5a6629b2b84b4c73156bbf261a92", + "section_14.candidate_counts.parquet:md5,1ef1a4e6cef6dd6b04ca28a505985bb5", + "section_16.candidate_counts.parquet:md5,f246e9291457873463ba3bff49e07b9d", + "section_18.candidate_counts.parquet:md5,f67b1be510bd1b41f58088ae08cc494c", + "section_20.candidate_counts.parquet:md5,3349d94fa3b42a917704c7abc2d807f9", + "section_3.candidate_counts.parquet:md5,2ddf5f2e7cca3e8df9930520b3131495", + "section_5.candidate_counts.parquet:md5,179d419cc48a36a991fbe74e4dcb28fa", + "section_7.candidate_counts.parquet:md5,41f08e512f5d44eff8fa0ce3d49ac0f4", + "section_9.candidate_counts.parquet:md5,85c942fa7ec2f2b4e5af6149de007328" + ] ], "1": [ - + [ + "section_12.stats.parquet:md5,069d23175be9d1a733b4996895d4a3ce", + "section_14.stats.parquet:md5,73e852a1083f86d2d99d4f93ab6228c0", + "section_16.stats.parquet:md5,6aa616308faf4403194f18fae7cd1024", + "section_18.stats.parquet:md5,0b17005fab7582663111ea77cefca427", + "section_20.stats.parquet:md5,03c52c419ff94b63d0b16b2e9e87fa26", + "section_3.stats.parquet:md5,14a121ecab4116935fa9df136afc997a", + "section_5.stats.parquet:md5,3a3700641343056feabac2aa76626556", + "section_7.stats.parquet:md5,d6af8c940d55e449397b7fc0c428fedf", + "section_9.stats.parquet:md5,eb375761c7111b78bf8779bf71f876ef" + ] ], "2": [ - + [ + "GET_CANDIDATE_GENES", + "python", + "3.14.3" + ] ], "3": [ - + [ + "GET_CANDIDATE_GENES", + "polars", + "1.39.2" + ] ], "counts": [ - + [ + "section_12.candidate_counts.parquet:md5,df8b5a6629b2b84b4c73156bbf261a92", + "section_14.candidate_counts.parquet:md5,1ef1a4e6cef6dd6b04ca28a505985bb5", + "section_16.candidate_counts.parquet:md5,f246e9291457873463ba3bff49e07b9d", + "section_18.candidate_counts.parquet:md5,f67b1be510bd1b41f58088ae08cc494c", + "section_20.candidate_counts.parquet:md5,3349d94fa3b42a917704c7abc2d807f9", + "section_3.candidate_counts.parquet:md5,2ddf5f2e7cca3e8df9930520b3131495", + "section_5.candidate_counts.parquet:md5,179d419cc48a36a991fbe74e4dcb28fa", + "section_7.candidate_counts.parquet:md5,41f08e512f5d44eff8fa0ce3d49ac0f4", + "section_9.candidate_counts.parquet:md5,85c942fa7ec2f2b4e5af6149de007328" + ] ], "section_stats": [ - + [ + "section_12.stats.parquet:md5,069d23175be9d1a733b4996895d4a3ce", + "section_14.stats.parquet:md5,73e852a1083f86d2d99d4f93ab6228c0", + "section_16.stats.parquet:md5,6aa616308faf4403194f18fae7cd1024", + "section_18.stats.parquet:md5,0b17005fab7582663111ea77cefca427", + "section_20.stats.parquet:md5,03c52c419ff94b63d0b16b2e9e87fa26", + "section_3.stats.parquet:md5,14a121ecab4116935fa9df136afc997a", + "section_5.stats.parquet:md5,3a3700641343056feabac2aa76626556", + "section_7.stats.parquet:md5,d6af8c940d55e449397b7fc0c428fedf", + "section_9.stats.parquet:md5,eb375761c7111b78bf8779bf71f876ef" + ] ] } ], @@ -55,6 +127,6 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-19T11:08:33.796603056" + "timestamp": "2026-03-30T17:07:09.643611957" } } \ No newline at end of file diff --git a/tests/modules/local/merge_counts/main.nf.test b/tests/modules/local/merge_counts/main.nf.test index a8f55ea1..89651847 100644 --- a/tests/modules/local/merge_counts/main.nf.test +++ b/tests/modules/local/merge_counts/main.nf.test @@ -5,7 +5,7 @@ nextflow_process { process "MERGE_COUNTS" tag "merge_counts" - test("2 files") { + test("3 files") { when { @@ -14,8 +14,9 @@ nextflow_process { input[0] = [ [ platform: 'rnaseq' ], [ - file("$projectDir/tests/test_data/dataset_statistics/input/count.raw.cpm.quant_norm.parquet", checkIfExists: true), - file( "$projectDir/tests/test_data/dataset_statistics/input/count2.raw.cpm.quant_norm.parquet", checkIfExists: true) + file("$projectDir/tests/test_data/merge_data/input/counts1.parquet", checkIfExists: true), + file( "$projectDir/tests/test_data/merge_data/input/counts2.parquet", checkIfExists: true), + file( "$projectDir/tests/test_data/merge_data/input/counts3.parquet", checkIfExists: true), ] ] """ @@ -30,7 +31,7 @@ nextflow_process { } } - + /* test("2 identical files") { when { @@ -56,7 +57,7 @@ nextflow_process { } } - + */ test("1 file") { when { diff --git a/tests/modules/local/merge_counts/main.nf.test.snap b/tests/modules/local/merge_counts/main.nf.test.snap index 04998930..6e773d44 100644 --- a/tests/modules/local/merge_counts/main.nf.test.snap +++ b/tests/modules/local/merge_counts/main.nf.test.snap @@ -1,41 +1,36 @@ { - "2 files": { - "content": [ - { - "0": [ - - ], - "1": [ - - ], - "2": [ - - ], - "counts": [ - - ] - } - ], - "meta": { - "nf-test": "0.9.3", - "nextflow": "25.10.4" - }, - "timestamp": "2026-03-19T12:22:52.352902147" - }, - "2 identical files": { + "1 file": { "content": [ { "0": [ - + [ + { + "platform": "microarray" + }, + "all_counts.parquet:md5,4ceb116e0a52b92ab31ec4e122ed12a1" + ] ], "1": [ - + [ + "MERGE_COUNTS", + "python", + "3.14.3" + ] ], "2": [ - + [ + "MERGE_COUNTS", + "polars", + "1.39.2" + ] ], "counts": [ - + [ + { + "platform": "microarray" + }, + "all_counts.parquet:md5,4ceb116e0a52b92ab31ec4e122ed12a1" + ] ] } ], @@ -43,22 +38,40 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-19T12:23:06.464908148" + "timestamp": "2026-03-30T16:41:25.646239587" }, - "1 file": { + "3 files": { "content": [ { "0": [ - + [ + { + "platform": "rnaseq" + }, + "all_counts.parquet:md5,c519c7936217c9399081069a48539c07" + ] ], "1": [ - + [ + "MERGE_COUNTS", + "python", + "3.14.3" + ] ], "2": [ - + [ + "MERGE_COUNTS", + "polars", + "1.39.2" + ] ], "counts": [ - + [ + { + "platform": "rnaseq" + }, + "all_counts.parquet:md5,c519c7936217c9399081069a48539c07" + ] ] } ], @@ -66,6 +79,6 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-19T12:23:20.533218583" + "timestamp": "2026-03-30T16:39:46.447995126" } } \ No newline at end of file diff --git a/tests/modules/local/normalisation/compute_cpm/main.nf.test.snap b/tests/modules/local/normalisation/compute_cpm/main.nf.test.snap index 9381295b..93dbea13 100644 --- a/tests/modules/local/normalisation/compute_cpm/main.nf.test.snap +++ b/tests/modules/local/normalisation/compute_cpm/main.nf.test.snap @@ -5,7 +5,531 @@ "0": [ [ { - "dataset": "test" + "dataset": [ + [ + [ + [ + [ + "000003.log:md5,81cfe70a33cfdabbb4092b65ea197bf1", + "CURRENT:md5,206702161f94c5cd39fadd03f4014d98", + "LOCK:md5,d41d8cd98f00b204e9800998ecf8427e", + "MANIFEST-000002:md5,22bf0e81636b1b45051b138f48b3d148" + ], + "index.drunk_kare:md5,1e23c0bc47b56668ef99408632c148d2" + ], + [ + [ + 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"counts.tpm.parquet:md5,95563b1ba1083cfc31c2b9c18c5aeaaa" ] diff --git a/tests/modules/local/normfinder/main.nf.test.snap b/tests/modules/local/normfinder/main.nf.test.snap index 8bd99391..0b2298f7 100644 --- a/tests/modules/local/normfinder/main.nf.test.snap +++ b/tests/modules/local/normfinder/main.nf.test.snap @@ -3,25 +3,55 @@ "content": [ { "0": [ - + [ + { + "section": "section_1" + }, + "stability_values.normfinder.csv:md5,05b3b9508930923bd86c281e8febe6b6" + ] ], "1": [ - + [ + "NORMFINDER", + "python", + "3.14.3" + ] ], "2": [ - + [ + "NORMFINDER", + "polars", + "1.39.2" + ] ], "3": [ - + [ + "NORMFINDER", + "tqdm", + "4.67.3" + ] ], "4": [ - + [ + "NORMFINDER", + "numpy", + "2.4.3" + ] ], "5": [ - + [ + "NORMFINDER", + "numba", + "0.64.0" + ] ], "stability_values": [ - + [ + { + "section": "section_1" + }, + "stability_values.normfinder.csv:md5,05b3b9508930923bd86c281e8febe6b6" + ] ] } ], @@ -29,31 +59,61 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-19T12:25:07.29573484" + "timestamp": "2026-03-30T15:45:00.995645591" }, "Very small dataset - Cq values": { "content": [ { "0": [ - + [ + { + "section": "section_1" + }, + "stability_values.normfinder.csv:md5,a7c936faa9135439fd1b86c195f60414" + ] ], "1": [ - + [ + "NORMFINDER", + "python", + "3.14.3" + ] ], "2": [ - + [ + "NORMFINDER", + "polars", + "1.39.2" + ] ], "3": [ - + [ + "NORMFINDER", + "tqdm", + "4.67.3" + ] ], "4": [ - + [ + "NORMFINDER", + "numpy", + "2.4.3" + ] ], "5": [ - + [ + "NORMFINDER", + "numba", + "0.64.0" + ] ], "stability_values": [ - + [ + { + "section": "section_1" + }, + "stability_values.normfinder.csv:md5,a7c936faa9135439fd1b86c195f60414" + ] ] } ], @@ -61,6 +121,6 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-03-19T12:24:48.380454454" + "timestamp": "2026-03-30T15:44:51.060894512" } } \ No newline at end of file diff --git a/tests/modules/local/quantile_normalisation/main.nf.test.snap 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"count.raw.cpm.quant_norm.parquet:md5,10c118fd62dad210b585f30620679732" ] diff --git a/tests/subworkflows/local/genorm/main.nf.test.snap b/tests/subworkflows/local/genorm/main.nf.test.snap index 56d2dda1..411b8f60 100644 --- a/tests/subworkflows/local/genorm/main.nf.test.snap +++ b/tests/subworkflows/local/genorm/main.nf.test.snap @@ -3,10 +3,20 @@ "content": [ { "0": [ - + [ + { + "section": "section_1" + }, + "m_measures.csv:md5,2119b16fe13e2d0bc0fedc3c9d3d1733" + ] ], "m_measures": [ - + [ + { + "section": "section_1" + }, + "m_measures.csv:md5,2119b16fe13e2d0bc0fedc3c9d3d1733" + ] ] } ], @@ -14,23 +24,33 @@ "nf-test": "0.9.3", "nextflow": "25.10.4" }, - "timestamp": "2026-02-19T11:49:02.635827714" + "timestamp": "2026-04-01T09:56:47.48692894" }, "10 genes": { "content": [ { "0": [ - + [ + { + "section": "section_1" + }, + "m_measures.csv:md5,8bfea16844f247e2b871a8f559a3dd73" + ] ], "m_measures": [ - + [ + { + "section": "section_1" + }, + "m_measures.csv:md5,8bfea16844f247e2b871a8f559a3dd73" + ] ] } ], "meta": { - "nf-test": "0.9.2", - "nextflow": "25.04.8" + "nf-test": "0.9.3", + "nextflow": "25.10.4" }, - "timestamp": "2025-12-03T19:01:05.843822263" + "timestamp": "2026-04-01T09:55:53.207791305" } } \ No newline at end of file diff --git a/tests/subworkflows/local/get_public_accessions/main.nf.test b/tests/subworkflows/local/get_public_accessions/main.nf.test index d1d0e64b..bdad9313 100644 --- a/tests/subworkflows/local/get_public_accessions/main.nf.test +++ b/tests/subworkflows/local/get_public_accessions/main.nf.test @@ -188,5 +188,51 @@ nextflow_workflow { } + test("With samplling size") { + + when { + + params { + species = 'beta vulgaris' + skip_fetch_eatlas_accessions = false + fetch_geo_accessions = false + platform = null + keywords = "" + accessions = "" + accessions_file = null + excluded_accessions = "" + excluded_accessions_file = null + random_sampling_size = 2 + random_sampling_seed = 42 + outdir = "$outputDir" + } + + workflow { + """ + input[0] = params.species.split(' ').join('_') + input[1] = params.skip_fetch_eatlas_accessions + input[2] = params.fetch_geo_accessions + input[3] = params.platform + input[4] = params.keywords + input[5] = channel.fromList( params.accessions.tokenize(',') ) + input[6] = params.accessions_file ? channel.fromPath(params.accessions_file, checkIfExists: true) : channel.empty() + input[7] = channel.fromList( params.excluded_accessions.tokenize(',') ) + input[8] = params.excluded_accessions_file ? channel.fromPath(params.excluded_accessions_file, checkIfExists: true) : channel.empty() + input[9] = params.random_sampling_size + input[10] = params.random_sampling_seed + input[11] = params.outdir + """ + } + } + + then { + assertAll( + { assert workflow.success }, + { assert snapshot(workflow.out).match() } + ) + } + + } + } diff --git a/tests/subworkflows/local/get_public_accessions/main.nf.test.snap b/tests/subworkflows/local/get_public_accessions/main.nf.test.snap index 85090531..ba67282a 100644 --- a/tests/subworkflows/local/get_public_accessions/main.nf.test.snap +++ b/tests/subworkflows/local/get_public_accessions/main.nf.test.snap @@ -5,20 +5,22 @@ "0": [ "E-GEOD-61690", "E-MTAB-552", + "E-MTAB-8187", "E-PROT-138" ], "accessions": [ "E-GEOD-61690", "E-MTAB-552", + "E-MTAB-8187", "E-PROT-138" ] } ], "meta": { "nf-test": "0.9.3", - "nextflow": "25.10.2" + "nextflow": "25.10.4" }, - "timestamp": "2025-12-11T11:13:39.15754592" + "timestamp": "2026-04-01T14:49:26.109506348" }, "No GEO + accessions provided": { "content": [ @@ -26,22 +28,41 @@ "0": [ "E-GEOD-61690", "E-MTAB-552", + "E-MTAB-8187", "E-PROT-138" ], "accessions": [ "E-GEOD-61690", "E-MTAB-552", + "E-MTAB-8187", "E-PROT-138" ] } ], "meta": { "nf-test": "0.9.3", - "nextflow": "25.10.2" + "nextflow": "25.10.4" }, - "timestamp": "2025-12-11T11:13:13.734553188" + "timestamp": "2026-04-01T14:49:15.733265214" }, "Fetch eatlas accessions without keywords": { + "content": [ + { + "0": [ + "E-MTAB-8187" + ], + "accessions": [ + "E-MTAB-8187" + ] + } + ], + "meta": { + "nf-test": "0.9.3", + "nextflow": "25.10.4" + }, + "timestamp": "2026-04-01T14:48:43.670211053" + }, + "With samplling size": { "content": [ { "0": [ @@ -54,25 +75,35 @@ ], "meta": { "nf-test": "0.9.3", - "nextflow": "25.10.2" + "nextflow": "25.10.4" }, - "timestamp": "2025-12-11T11:12:37.434155203" + "timestamp": "2026-04-01T14:53:02.05138484" }, "Fetch public accessions with keywords": { "content": [ { "0": [ - + "E-MTAB-8187", + "GSE107627", + "GSE114968", + "GSE269454", + "GSE281272", + "GSE79526" ], "accessions": [ - + "E-MTAB-8187", + "GSE107627", + "GSE114968", + "GSE269454", + "GSE281272", + "GSE79526" ] } ], "meta": { "nf-test": "0.9.3", - "nextflow": "25.10.2" + "nextflow": "25.10.4" }, - "timestamp": "2025-12-11T14:12:14.94130631" + "timestamp": "2026-04-01T14:49:04.709620479" } } \ No newline at end of file diff --git a/tests/test_data/aggregate_results/metadata.csv b/tests/test_data/aggregate_results/metadata.csv index 5e8f3142..d4985a9f 100644 --- a/tests/test_data/aggregate_results/metadata.csv +++ b/tests/test_data/aggregate_results/metadata.csv @@ -1,4 +1,4 @@ gene_id,name,description ENSRNA049454747,geneA,descriptionA ENSRNA049454887,geneB,descriptionB -ENSRNA049454747,geneC,descriptionC +ENSRNA049454947,geneC,descriptionC diff --git a/tests/test_data/base_statistics/output/section_1.stats_with_scores.csv b/tests/test_data/base_statistics/output/section_1.stats_with_scores.csv new file mode 100644 index 00000000..c210a841 --- /dev/null +++ b/tests/test_data/base_statistics/output/section_1.stats_with_scores.csv @@ -0,0 +1,6 @@ +gene_id,mean,standard_deviation,median,median_absolute_deviation,coefficient_of_variation,robust_coefficient_of_variation_median,ratio_nulls_in_all_samples,ratio_nulls_in_valid_samples,ratio_zeros,expression_level_quantile_interval,section,normfinder_stability_value,genorm_m_measure,is_candidate,normfinder_stability_value_normalised,genorm_m_measure_normalised,coefficient_of_variation_normalised,robust_coefficient_of_variation_median_normalised,stability_score,rank +ENSRNA049454747,0.570564,0.010209,0.568117,0.008682,0.017892,0.022657,0.000000,0.000000,0.000000,56.000000,9,0.004712,0.067012,1,0.000346,0.000000,0.000000,0.031965,0.032311,1 +ENSRNA049454887,0.552805,0.014706,0.552715,0.009310,0.026603,0.024974,0.000000,0.000000,0.000000,55.000000,9,0.006991,0.071275,1,0.197714,0.097993,0.224146,0.072973,0.592827,2 +ENSRNA049454931,0.556514,0.016277,0.555356,0.012927,0.029249,0.034509,0.000000,0.000000,0.000000,55.000000,9,0.005713,0.070772,1,0.087036,0.086431,0.292232,0.241735,0.707433,3 +ENSRNA049454947,0.565699,0.017542,0.563547,0.009311,0.031010,0.024495,0.000000,0.000000,0.000000,56.000000,9,0.006086,0.076305,1,0.119338,0.213617,0.337545,0.064496,0.734996,4 +ENSRNA049454955,0.577896,0.017702,0.576416,0.012490,0.030632,0.032127,0.000000,0.000000,0.000000,57.000000,9,0.006420,0.069699,1,0.148264,0.061766,0.327818,0.199575,0.737423,5 diff --git a/tests/test_data/base_statistics/output/section_2.stats_with_scores.csv b/tests/test_data/base_statistics/output/section_2.stats_with_scores.csv new file mode 100644 index 00000000..d0d6d6e8 --- /dev/null +++ b/tests/test_data/base_statistics/output/section_2.stats_with_scores.csv @@ -0,0 +1,5 @@ +gene_id,mean,standard_deviation,median,median_absolute_deviation,coefficient_of_variation,robust_coefficient_of_variation_median,ratio_nulls_in_all_samples,ratio_nulls_in_valid_samples,ratio_zeros,expression_level_quantile_interval,section,normfinder_stability_value,genorm_m_measure,is_candidate,normfinder_stability_value_normalised,genorm_m_measure_normalised,coefficient_of_variation_normalised,robust_coefficient_of_variation_median_normalised,stability_score,rank +ENSRNA049454963,0.997524,0.000782,0.997419,0.000419,0.000784,0.000622,0.000000,0.000000,0.000000,99.000000,1,0.000125,0.002924,1,0.006574,0.001386,0.177943,0.089186,0.275089,6 +ENSRNA049454974,0.997944,0.000658,0.998069,0.000409,0.000659,0.000607,0.000000,0.000000,0.000000,99.000000,1,0.000185,0.003060,1,0.050402,0.039091,0.143564,0.086399,0.319456,7 +ENSRNA049455639,0.997911,0.000919,0.997909,0.000533,0.000921,0.000791,0.000000,0.000000,0.000000,99.000000,1,0.000116,0.002919,1,0.000000,0.000000,0.215622,0.120587,0.336209,8 +ENSRNA049455690,0.996857,0.000889,0.996528,0.000433,0.000892,0.000645,0.000000,0.000000,0.000000,99.000000,1,0.000155,0.002944,1,0.028488,0.006931,0.207646,0.093460,0.336524,9 diff --git a/tests/test_data/base_statistics/output/stats_all_genes.csv b/tests/test_data/base_statistics/output/stats_all_genes.csv index 85153b9e..9c2d792e 100644 --- a/tests/test_data/base_statistics/output/stats_all_genes.csv +++ b/tests/test_data/base_statistics/output/stats_all_genes.csv @@ -1,10 +1,10 @@ gene_id,mean,standard_deviation,median,median_absolute_deviation,coefficient_of_variation,robust_coefficient_of_variation_median,ratio_nulls_in_all_samples,ratio_nulls_in_valid_samples,ratio_zeros,expression_level_quantile_interval -ENSRNA049454747,0.9375,0.11572751247156893,1.0,0.0,0.12344267996967352,0.0,0.0,0.0,0.0,99 -ENSRNA049454887,0.140625,0.15580293184477811,0.125,0.125,1.1079319597850887,1.4826,0.0,0.0,0.5,11 -ENSRNA049454931,0.4453125,0.12246309575308217,0.4375,0.0625,0.2750048466034126,0.2118,0.0,0.0,0.0,66 -ENSRNA049454947,0.3984375,0.1887975933374152,0.375,0.125,0.4738449401409636,0.4942,0.0,0.0,0.0,44 -ENSRNA049454955,0.421875,0.18525441001112883,0.4375,0.15625,0.4391215644708239,0.5295,0.0,0.0,0.0,55 -ENSRNA049454963,0.78125,0.08838834764831845,0.75,0.0625,0.1131370849898476,0.12355,0.0,0.0,0.0,77 -ENSRNA049454974,0.859375,0.12387890112063936,0.875,0.0625,0.14414999403128945,0.1059,0.0,0.0,0.0,88 -ENSRNA049455639,0.15625,0.20863074009907004,0.125,0.125,1.3352367366340483,1.4826,0.0,0.0,0.375,22 -ENSRNA049455690,0.328125,0.34028283928856257,0.3125,0.3125,1.0370524625937145,1.4826,0.0,0.0,0.375,33 +ENSRNA049454747,0.204895,0.197240,0.332892,0.111337,0.962641,0.495860,0.000000,0.000000,0.466667,28 +ENSRNA049454887,0.525767,0.039664,0.515980,0.014747,0.075440,0.042374,0.000000,0.000000,0.000000,52 +ENSRNA049454931,0.429906,0.040942,0.439106,0.028691,0.095235,0.096872,0.000000,0.000000,0.000000,43 +ENSRNA049454947,0.337136,0.023450,0.332792,0.010226,0.069556,0.045556,0.000000,0.000000,0.000000,35 +ENSRNA049454955,0.356393,0.077994,0.367554,0.033003,0.218844,0.133124,0.000000,0.000000,0.033333,37 +ENSRNA049454963,0.473395,0.040190,0.468429,0.021211,0.084898,0.067134,0.000000,0.000000,0.000000,47 +ENSRNA049454974,0.652818,0.120681,0.623259,0.073014,0.184861,0.173684,0.000000,0.000000,0.000000,65 +ENSRNA049455639,0.566799,0.038299,0.562763,0.025460,0.067571,0.067073,0.000000,0.000000,0.000000,56 +ENSRNA049455690,0.653952,0.036833,0.647126,0.016865,0.056324,0.038639,0.000000,0.000000,0.000000,65 diff --git a/tests/test_data/compute_stability_scores/input/stats_all_genes.csv b/tests/test_data/compute_stability_scores/input/stats_all_genes.csv index 85153b9e..c5ef7f74 100644 --- a/tests/test_data/compute_stability_scores/input/stats_all_genes.csv +++ b/tests/test_data/compute_stability_scores/input/stats_all_genes.csv @@ -1,10 +1,10 @@ -gene_id,mean,standard_deviation,median,median_absolute_deviation,coefficient_of_variation,robust_coefficient_of_variation_median,ratio_nulls_in_all_samples,ratio_nulls_in_valid_samples,ratio_zeros,expression_level_quantile_interval -ENSRNA049454747,0.9375,0.11572751247156893,1.0,0.0,0.12344267996967352,0.0,0.0,0.0,0.0,99 -ENSRNA049454887,0.140625,0.15580293184477811,0.125,0.125,1.1079319597850887,1.4826,0.0,0.0,0.5,11 -ENSRNA049454931,0.4453125,0.12246309575308217,0.4375,0.0625,0.2750048466034126,0.2118,0.0,0.0,0.0,66 -ENSRNA049454947,0.3984375,0.1887975933374152,0.375,0.125,0.4738449401409636,0.4942,0.0,0.0,0.0,44 -ENSRNA049454955,0.421875,0.18525441001112883,0.4375,0.15625,0.4391215644708239,0.5295,0.0,0.0,0.0,55 -ENSRNA049454963,0.78125,0.08838834764831845,0.75,0.0625,0.1131370849898476,0.12355,0.0,0.0,0.0,77 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