To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("goseq")
In most cases, you don't need to download the package archive at all.
goseq
Gene Ontology analyser for RNA-seq and other length biased data
Bioconductor version: 3.0
Detects Gene Ontology and/or other user defined categories which are over/under represented in RNA-seq data
Author: Matthew Young
Maintainer: Nadia Davidson <nadia.davidson at mcri.edu.au>
Citation (from within R,
enter citation("goseq")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("goseq")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("goseq")
| R Script | goseq User's Guide | |
| Reference Manual |
Details
| biocViews | GO, GeneExpression, RNASeq, Sequencing, Software, Transcription |
| Version | 1.18.0 |
| In Bioconductor since | BioC 2.6 (R-2.11) |
| License | LGPL (>= 2) |
| Depends | R (>= 2.11.0), BiasedUrn, geneLenDataBase |
| Imports | mgcv, graphics, stats, utils, AnnotationDbi, GO.db, BiocGenerics |
| LinkingTo | |
| Suggests | edgeR, org.Hs.eg.db, rtracklayer |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | oneChannelGUI |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | goseq_1.18.0.tar.gz |
| Windows Binary | goseq_1.18.0.zip |
| Mac OS X 10.6 (Snow Leopard) | goseq_1.18.0.tgz |
| Mac OS X 10.9 (Mavericks) | goseq_1.18.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
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