The BitSeq package is targeted for transcript expression analysis and differential expression analysis of RNAseq data in two stage process. In the first stage it uses Bayesian inference methodology to infer expression of individual transcripts from individual RNAseq experiments. The second stage of BitSeq embraces the differential expression analysis of transcript expression. Providing expression estimates from replicates of multiple conditions, LogNormal 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 


Author  Peter Glaus, Antti Honkela and Magnus Rattray 
Bioconductor views  AlternativeSplicing Bayesian DifferentialExpression DifferentialSplicing GeneExpression RNASeq Sequencing Transcription 
Maintainer  Antti Honkela <[email protected]>, Panagiotis Papastamoulis <[email protected]> 
License  Artistic2.0 + file LICENSE 
Version  1.24.0 
Package repository  View on Bioconductor 
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