To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("BitSeq")
In most cases, you don't need to download the package archive at all.
BitSeq
Transcript expression inference and differential expression analysis for RNA-seq data
Bioconductor version: 3.1
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: Antti Honkela <antti.honkela at hiit.fi>, Panagiotis Papastamoulis <panagiotis.papastamoulis at manchester.ac.uk>
Citation (from within R,
enter citation("BitSeq")):
Installation
To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("BitSeq")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BitSeq")
| R Script | BitSeq User Guide | |
| Reference Manual | ||
| Text | NEWS | |
| Text | LICENSE |
Details
| biocViews | AlternativeSplicing, Bayesian, DifferentialExpression, DifferentialSplicing, GeneExpression, RNASeq, Sequencing, Software, Transcription |
| Version | 1.12.0 |
| In Bioconductor since | BioC 2.10 (R-2.15) (3.5 years) |
| License | Artistic-2.0 + file LICENSE |
| Depends | Rsamtools, zlibbioc |
| Imports | S4Vectors, IRanges |
| LinkingTo | Rsamtools(>= 1.19.38), zlibbioc |
| Suggests | edgeR, DESeq, BiocStyle |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | BitSeq_1.12.0.tar.gz |
| Windows Binary | BitSeq_1.12.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | BitSeq_1.12.0.tgz |
| Mac OS X 10.9 (Mavericks) | BitSeq_1.12.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/BitSeq/tree/release-3.1 |
| Package Short Url | http://bioconductor.org/packages/BitSeq/ |
| Package Downloads Report | Download Stats |
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