Skip to content

Releases: LewisLabUCSD/PinAPL-Py

Bug fix

26 Feb 22:45

Choose a tag to compare

  • Bug Fix in size-factor normalization

Minor improvements

24 Feb 21:40

Choose a tag to compare

  • conduct STARS analysis based on fold-change instead of counts
  • print sample names for replication correlation analysis in output log

New input format avoiding file renaming

23 Feb 00:52

Choose a tag to compare

  • filename input via Excel sheet
  • minor bug fixes

new version with more diagnostic plots and more analysis options

17 Feb 23:43

Choose a tag to compare

  • plots for z-Scores and p-value distributions
  • option to save figures as vector graphics
  • option to define a minimal count cutoff
  • improved figure layout and colors
  • more consistent output folder structure

new version supporting size-factor normalization

15 Feb 00:57

Choose a tag to compare

  • added the size-factor method (DESeq, MaGeCK) as an option for read count normalization

v1.1: major updates, including Excel support and higher RAM efficiency

13 Feb 20:42

Choose a tag to compare

  • data input via Excel sheet (no more file renaming required)
  • significant improvements in alignment and read counting making the program much more RAM efficient
  • supports a single control replicate (no p-values can be computed in this case)
  • option to generate .xlsx for the result spreadsheets instead of .tsv
  • accepts both .tsv and .csv library spreadsheets
  • includes a read count barchart
  • all plots are now .png
  • if alignment and QC folder are already present for a sample, the alignment for that sample is skipped (simplifies re-runs)
  • all output is saved in a logfile