BitSeq

DOI:10.18129/B9.bioc.BitSeq

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, seeBitSeq.

Transcript expression inference and differential expression analysis for RNA-seq data

Bioconductor version: 3.8

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 , Panagiotis Papastamoulis

Installation

To install this package, start R (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("BitSeq")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

查看文档的版本包age installed in your system, start R and enter:

browseVignettes("BitSeq")

PDF	R Script	BitSeq User Guide
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	AlternativeSplicing,Bayesian,DifferentialExpression,DifferentialSplicing,GeneExpression,ImmunoOncology,RNASeq,Sequencing,Software,Transcription
Version	1.26.1
In Bioconductor since	BioC 2.10 (R-2.15) (7 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
Links To Me
Build Report

Package Archives

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Source Package	BitSeq_1.26.1.tar.gz
Windows Binary	BitSeq_1.26.1.zip(32- & 64-bit)
Mac OS X 10.11 (El Capitan)	BitSeq_1.26.1.tgz
Source Repository	git clone https://git.bioconductor.org/packages/BitSeq
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/BitSeq
Package Short Url	//www.andersvercelli.com/packages/BitSeq/
Package Downloads Report	Download Stats