goodarzilab/APAlog: Analysis of alternative poly A site usage

Many trancripts in human and other organisms have multiple potential poly A sites. Selection of different poly A sites affects the composition of 3' UTR and the the regulatory elements it contains, and may impact several aspects of mRNA life cycle e.g. stability and translation rate. The APAlog package tests the significance of differential poly A site usage for each transcript across samples. The source of input data can be a 3' sequencing protocol e.g. Tag-Seq or QuantSeq, or regular RNA-seq with an annotation file. Three modes of analysis are offered: Overall transcript-wise test to evaluate the existence of differential pA usage, pairwise comparison of all pA sites of a transcript, or setting one pA site as the canonical or reference site and comparing every other pA site to this reference.

Getting started

Package details

Bioconductor views BiomedicalInformatics ComparativeGenomics DataImport DifferentialExpression GeneExpression Genetics MultipleComparison Sequencing Software SystemsBiology
Maintainer
LicenseMIT
Version0.99.0
URL https://github.com/goodarzilab/APAlog
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("goodarzilab/APAlog")
goodarzilab/APAlog documentation built on March 25, 2022, 3:40 p.m.