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Enhancement: Differential usage #8

@dominikburri

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@dominikburri

PAQR performs quantification of PAS usage based on the weighted average exon length.
It is rather straightforward to test for differential PAS usage as the conditions are anyway supplied in the sample table. One could use the unpaired two-sample t-test or the Wilcoxon rank sum test to test for differential PAS usage between two conditions. One would need to check which test is more appropriate. In addition, p-value adjustment for multiple testing could be added, e.g. the Benjamini-Hochberg procedure to control the False Discovery Rate.
Then the main output of PAQR would still be the average exon lengths but would additionally include the information which exons, resp. genes, show differential usage between conditions.

These procedures could be added as individual Snakemake rules after weighted_avg_exon_lengths.tsv is created.

If the extension of PAQR is not desired, a note about this possibility and some pointers to how to do it, would increase the impact of PAQR.

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