r-bioc-biomart 2.54.0+dfsg-1 source package in Ubuntu
Changelog
r-bioc-biomart (2.54.0+dfsg-1) unstable; urgency=medium * New upstream version * Reduce piuparts noise in transitions (routine-update) -- Andreas Tille <email address hidden> Mon, 21 Nov 2022 16:13:16 +0100
Upload details
- Uploaded by:
- Debian R Packages Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian R Packages Maintainers
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Lunar | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
r-bioc-biomart_2.54.0+dfsg-1.dsc | 2.2 KiB | 1a0390e83c149ab856b6a092d1244e6c3fae5e62d0363ebfca864af37b8b027a |
r-bioc-biomart_2.54.0+dfsg.orig.tar.xz | 113.8 KiB | c1659f02cb6b25e25cf946c180034edd00eb0cb1d9c2eaf9d96cbea2e14ef7c8 |
r-bioc-biomart_2.54.0+dfsg-1.debian.tar.xz | 5.8 KiB | f984e0e02ee8457afb93d6de272478d543014b0452b4e001b150db6b089f5603 |
Available diffs
- diff from 2.52.0+dfsg-1 to 2.54.0+dfsg-1 (6.2 KiB)
No changes file available.
Binary packages built by this source
- r-bioc-biomart: GNU R Interface to BioMart databases (Ensembl, COSMIC, Wormbase and Gramene)
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.