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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("GOstats")
In most cases, you don't need to download the package archive at all.
GOstats
Tools for manipulating GO and microarrays.
Bioconductor version: 2.14
A set of tools for interacting with GO and microarray data. A variety of basic manipulation tools for graphs, hypothesis testing and other simple calculations.
Author: R. Gentleman and S. Falcon
Maintainer: Bioconductor Package Maintainer <maintainer at bioconductor.org>
Citation (from within R,
enter citation("GOstats")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("GOstats")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GOstats")
| Hypergeometric tests for less common model organisms | ||
| R Script | Hypergeometric Tests Using GOstats | |
| R Script | Visualizing Data Using GOstats | |
| Reference Manual |
Details
| biocViews | Annotation, GO, MultipleComparison, Software |
| Version | 2.30.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier |
| License | Artistic-2.0 |
| Depends | R (>= 2.10), Biobase(>= 1.15.29), Category(>= 2.3.26), graph |
| Imports | AnnotationDbi(>= 0.0.89), Biobase(>= 1.15.29), Category(>= 2.3.26), GO.db(>= 1.13.0), RBGL, annotate(>= 1.13.2), graph(>= 1.15.15), methods, stats, AnnotationForge |
| Suggests | hgu95av2.db(>= 1.13.0), ALL, GO.db(>= 1.13.0), annotate, multtest, genefilter, RColorBrewer, Rgraphviz, xtable, SparseM, GSEABase, geneplotter, org.Hs.eg.db, RUnit, BiocGenerics |
| System Requirements | |
| URL | |
| Depends On Me | attract, MineICA, RDAVIDWebService |
| Imports Me | affycoretools, attract, categoryCompare, ProCoNA, ReportingTools |
| Suggests Me | BiocCaseStudies, Category, eisa, fastLiquidAssociation, GSEAlm, HTSanalyzeR, interactiveDisplay, MineICA, MLP, MmPalateMiRNA, neaGUI, oneChannelGUI, phenoDist, safe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | GOstats_2.30.0.tar.gz |
| Windows Binary | GOstats_2.30.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | GOstats_2.30.0.tgz |
| Mac OS X 10.9 (Mavericks) | GOstats_2.30.0.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
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