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 |
|
---|---|
Author | Peter Glaus, Antti Honkela and Magnus Rattray |
Bioconductor views | AlternativeSplicing Bayesian DifferentialExpression DifferentialSplicing GeneExpression ImmunoOncology RNASeq Sequencing Transcription |
Maintainer | Antti Honkela <antti.honkela@helsinki.fi>, Panagiotis Papastamoulis <papastamoulis@aueb.gr> |
License | Artistic-2.0 + file LICENSE |
Version | 1.34.0 |
Package repository | View on Bioconductor |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.