BitSeq
This package is for version 3.15 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see BitSeq.
Transcript expression inference and differential expression analysis for RNA-seq data
Bioconductor version: 3.15
The BitSeq package is targeted for transcript expression analysis and differential expression analysis of RNA-seq data in two stage process. In the first stage it uses Bayesian inference methodology to infer expression of individual transcripts from individual RNA-seq experiments. The second stage of BitSeq embraces the differential expression analysis of transcript expression. Providing expression estimates from replicates of multiple conditions, Log-Normal model of the estimates is used for inferring the condition mean transcript expression and ranking the transcripts based on the likelihood of differential expression.
Author: Peter Glaus, Antti Honkela and Magnus Rattray
Maintainer: Antti Honkela <antti.honkela at helsinki.fi>, Panagiotis Papastamoulis <papastamoulis at aueb.gr>
citation("BitSeq")):
Installation
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("BitSeq")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BitSeq")
Details
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Follow Installation instructions to use this package in your R session.