Releases: LewisLabUCSD/PinAPL-Py
Releases · LewisLabUCSD/PinAPL-Py
Bug fix
- Bug Fix in size-factor normalization
Minor improvements
- 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
- filename input via Excel sheet
- minor bug fixes
new version with more diagnostic plots and more analysis options
- 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
- 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
- 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