eddieimada/REPAC: Differential Alternative Polyadenylation Analysis From Compositions

REPAC enables fast and scalable analysis of APA. REPAC relies on methods developed for compositional data to conduct statistical tests between poly-A sites.

Getting started

Package details

Bioconductor views DifferentialExpression RNASeq Regression Software Transcriptomics
MaintainerEddie Imada <eimada@med.conell.edu>
LicenseArtistic-2.0
Version0.99.0
URL
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("eddieimada/REPAC")
eddieimada/REPAC documentation built on Aug. 20, 2023, 7:22 a.m.