Updated differential expression heatmaps, logOR filtering, and bugfixes

New features and bugfixes

Differential expression heatmaps

• New heatmaps in DESeq2 folders which show scaled expression (normalised DESeq2 read counts), and log2 fold change values for all conditions vs control condition for significantly differentially expressed genes (padj <= 0.05).
• Line plot of basemean expression include on far right.
• See DE_isodecodersScaled_hm.pdf and DE_anticodonScaled_hm.pdf in /DESeq2/isodecoder and /DESeq2/anticodon, respectively.

Normalised counts outputs

• Tables of DESeq2 normalised counts for isodecoders and anticodons now output to /counts folder.
• These are the same values present in the last columns of all DESeq2 diffexpr-results.csv files, which means they are also excluding undeconvoluted clusters.

Bugfixes

• Fixed ZeroDivisionError in mmQuant.py for 0 coverage at cluster positions - see issue #7
• Fixed errors for very sparse data plotting issues in modPlot.py - see #6