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Python scripts optimization #450

@FerriolCalvet

Description

@FerriolCalvet

When running the pipeline with big panels or with lots of samples there are issues regarding memory and runtime that we could solve quite easily.

  • > 100 samples
    • Depths PDFs
    • Concat profiles clustermap/heatmap
  • Big panels / Exome
    • Compute adjusted mutation density
    • Plot saturation within gene (too much memory and too many plots...)
    • Plot saturation proportions (too many genes to fit in a single plot)

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