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|
|Bioconductor views||AlternativeSplicing Bayesian DifferentialExpression DifferentialSplicing GeneExpression RNASeq Sequencing Transcription|
|Maintainer||Antti Honkela <[email protected]>, Panagiotis Papastamoulis <[email protected]>|
|License||Artistic-2.0 + file LICENSE|
|Package repository||View on Bioconductor|
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