goseq
Gene Ontology analyser for RNA-seq and other length biased data
Bioconductor version: Release (3.17)
Detects Gene Ontology and/or other user defined categories which are over/under represented in RNA-seq data
Author: Matthew Young
Maintainer: Matthew Young <my4 at sanger.ac.uk>, Nadia Davidson <nadia.davidson at mcri.edu.au>
Citation (from within R, enter
citation("goseq")):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("goseq")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("goseq")| goseq User's Guide | R Script | |
| Reference Manual |
Details
| biocViews | GO, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software, Transcription |
| Version | 1.52.0 |
| In Bioconductor since | BioC 2.6 (R-2.11) (13.5 years) |
| License | LGPL (>= 2) |
| Depends | R (>= 2.11.0), BiasedUrn, geneLenDataBase(>= 1.9.2) |
| Imports | mgcv, graphics, stats, utils, AnnotationDbi, GO.db, BiocGenerics |
| Linking To | |
| Suggests | edgeR, org.Hs.eg.db, rtracklayer |
| System Requirements | |
| Enhances | |
| URL |
See More
| Depends On Me | rgsepd |
| Imports Me | ChAMP, ideal, SMITE |
| Suggests Me | sparrow |
| Links To Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | goseq_1.52.0.tar.gz |
| Windows Binary | goseq_1.52.0.zip (64-bit only) |
| macOS Binary (x86_64) | goseq_1.52.0.tgz |
| macOS Binary (arm64) | goseq_1.52.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/goseq |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/goseq |
| Bioc Package Browser | https://code.bioconductor.org/browse/goseq/ |
| Package Short Url | https://bioconductor.org/packages/goseq/ |
| Package Downloads Report | Download Stats |