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DRIMSeq

This is thereleased version of DRIMSeq; for the devel version, seeDRIMSeq.

Differential transcript usage and tuQTL analyses with Dirichlet-multinomial model in RNA-seq

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DOI: 10.18129/B9.bioc.DRIMSeq


Bioconductor version: Release (3.22)

The package provides two frameworks. One for the differential transcript usage analysis between different conditions and one for the tuQTL analysis. Both are based on modeling the counts of genomic features (i.e., transcripts) with the Dirichlet-multinomial distribution. The package also makes available functions for visualization and exploration of the data and results.

Author: Malgorzata Nowicka [aut, cre]

Maintainer: Malgorzata Nowicka <gosia.nowicka.uzh at gmail.com>

Citation (from within R, entercitation("DRIMSeq")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("DRIMSeq")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DRIMSeq")
Differential transcript usage and transcript usage QTL analyses in RNA-seq with the DRIMSeq packagePDFR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsAlternativeSplicing,DifferentialExpression,DifferentialSplicing,GeneExpression,Genetics,ImmunoOncology,MultipleComparison,RNASeq,SNP,Sequencing,Software,WorkflowStep
Version1.38.0
In Bioconductor sinceBioC 3.3 (R-3.3) (9.5 years)
LicenseGPL (>= 3)
DependsR (>= 3.4.0)
Importsutils, stats,MASS,GenomicRanges,IRanges,S4Vectors,BiocGenerics, methods,BiocParallel,limma,edgeR,ggplot2,reshape2
System Requirements
URL
See More
SuggestsPasillaTranscriptExpr,GeuvadisTranscriptExpr, grid,BiocStyle,knitr,testthat
Linking To
Enhances
Depends On MernaseqDTU
Imports MeBANDITS
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageDRIMSeq_1.38.0.tar.gz
Windows Binary (x86_64) DRIMSeq_1.38.0.zip
macOS Binary (x86_64)DRIMSeq_1.38.0.tgz
macOS Binary (arm64)DRIMSeq_1.38.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/DRIMSeq
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/DRIMSeq
Bioc Package Browserhttps://code.bioconductor.org/browse/DRIMSeq/
Package Short Urlhttps://bioconductor.org/packages/DRIMSeq/
Package Downloads ReportDownload Stats

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