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GeneStructureTools

Tools for spliced gene structure manipulation and analysis


Bioconductor version: Release (3.18)

GeneStructureTools can be used to create in silico alternative splicing events, and analyse potential effects this has on functional gene products.

Author: Beth Signal

Maintainer: Beth Signal <b.signal at garvan.org.au>

Citation (from within R, enter citation("GeneStructureTools")):

Installation

To install this package, start R (version "4.3") and enter:


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

BiocManager::install("GeneStructureTools")

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

Documentation

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

browseVignettes("GeneStructureTools")
Introduction to GeneStructureTools HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews AlternativeSplicing, DifferentialSplicing, FunctionalPrediction, ImmunoOncology, RNASeq, Software, Transcriptomics
Version 1.22.0
In Bioconductor since BioC 3.7 (R-3.5) (6 years)
License BSD_3_clause + file LICENSE
Depends
Imports Biostrings, GenomicRanges, IRanges, data.table, plyr, stringdist, stringr, S4Vectors, BSgenome.Mmusculus.UCSC.mm10, stats, utils, Gviz, rtracklayer, methods
System Requirements
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Suggests BiocStyle, knitr, rmarkdown
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package GeneStructureTools_1.22.0.tar.gz
Windows Binary GeneStructureTools_1.22.0.zip
macOS Binary (x86_64) GeneStructureTools_1.22.0.tgz
macOS Binary (arm64) GeneStructureTools_1.22.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GeneStructureTools
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GeneStructureTools
Bioc Package Browser https://code.bioconductor.org/browse/GeneStructureTools/
Package Short Url https://bioconductor.org/packages/GeneStructureTools/
Package Downloads Report Download Stats