Package: BitSeq
Type: Package
Depends: Rsamtools (>= 1.99.3)
Imports: S4Vectors, IRanges
LinkingTo: Rhtslib (>= 1.15.5)
Suggests: edgeR, DESeq, BiocStyle
Title: Transcript expression inference and differential expression
        analysis for RNA-seq data
Version: 1.28.0
Date: 2014-10-03
Author: Peter Glaus, Antti Honkela and Magnus Rattray
Maintainer: Antti Honkela <antti.honkela@hiit.fi>, Panagiotis Papastamoulis <panagiotis.papastamoulis@manchester.ac.uk>
Description: 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.
License: Artistic-2.0 + file LICENSE
Packaged: 2019-05-03 02:23:17 UTC; biocbuild
biocViews: ImmunoOncology, GeneExpression, DifferentialExpression,
        Sequencing, RNASeq, Bayesian, AlternativeSplicing,
        DifferentialSplicing, Transcription
git_url: https://git.bioconductor.org/packages/BitSeq
git_branch: RELEASE_3_9
git_last_commit: 63856e9
git_last_commit_date: 2019-05-02
Date/Publication: 2019-05-02
NeedsCompilation: yes
Built: R 3.6.0; i386-w64-mingw32; 2019-05-03 12:56:41 UTC; windows
Archs: i386, x64
