To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("biomaRt")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see biomaRt.
Bioconductor version: 3.4
In recent years a wealth of biological data has become available in public data repositories. Easy access to these valuable data resources and firm integration with data analysis is needed for comprehensive bioinformatics data analysis. biomaRt provides an interface to a growing collection of databases implementing the BioMart software suite (http://www.biomart.org). The package enables retrieval of large amounts of data in a uniform way without the need to know the underlying database schemas or write complex SQL queries. Examples of BioMart databases are Ensembl, COSMIC, Uniprot, HGNC, Gramene, Wormbase and dbSNP mapped to Ensembl. These major databases give biomaRt users direct access to a diverse set of data and enable a wide range of powerful online queries from gene annotation to database mining.
Author: Steffen Durinck <biomartdev at gmail.com>, Wolfgang Huber
Maintainer: Steffen Durinck <biomartdev at gmail.com>
Citation (from within R,
enter citation("biomaRt")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("biomaRt")
HTML | R Script | The biomaRt users guide |
Reference Manual | ||
Text | NEWS |
Follow Installation instructions to use this package in your R session.
Package Source | biomaRt_2.30.0.tar.gz |
Windows Binary | biomaRt_2.30.0.zip |
Mac OS X 10.9 (Mavericks) | biomaRt_2.30.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/biomaRt/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/biomaRt/ |
Package Downloads Report | Download Stats |
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