BitSeq: Transcript expression inference and differential expression analysis for RNA-seq data
Version 1.20.0

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.

Package details

AuthorPeter Glaus, Antti Honkela and Magnus Rattray
Bioconductor views AlternativeSplicing Bayesian DifferentialExpression DifferentialSplicing GeneExpression RNASeq Sequencing Transcription
MaintainerAntti Honkela <antti.honkela@hiit.fi>, Panagiotis Papastamoulis <panagiotis.papastamoulis@manchester.ac.uk>
LicenseArtistic-2.0 + file LICENSE
Version1.20.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("BitSeq")

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BitSeq documentation built on May 31, 2017, 10:54 a.m.