BitSeq

Transcript expression inference and differential expression analysis for RNA-seq data

Bioconductor version: Release (2.11)

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: Peter Glaus <glaus at cs.man.ac.uk>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("BitSeq")

To cite this package in a publication, start R and enter:

    citation("BitSeq")

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