-
recipe
bioconductor-genomicfeatures
Conveniently import and query gene models
- Homepage
https://bioconductor.org/packages/3.12/bioc/html/GenomicFeatures.html
- License
Artistic-2.0
- Recipe
- Links
biotools: genomicfeatures
A set of tools and methods for making and manipulating transcript centric annotations. With these tools the user can easily download the genomic locations of the transcripts, exons and cds of a given organism, from either the UCSC Genome Browser or a BioMart database (more sources will be supported in the future). This information is then stored in a local database that keeps track of the relationship between transcripts, exons, cds and genes. Flexible methods are provided for extracting the desired features in a convenient format.
-
package
bioconductor-genomicfeatures
¶ -
- Versions
1.42.0-0
,1.40.0-0
,1.38.0-0
,1.36.4-0
,1.36.0-0
,1.34.1-0
,1.32.3-0
,1.30.3-0
,1.30.0-0
,1.42.0-0
,1.40.0-0
,1.38.0-0
,1.36.4-0
,1.36.0-0
,1.34.1-0
,1.32.3-0
,1.30.3-0
,1.30.0-0
,1.28.5-0
,1.26.4-0
,1.26.0-2
,1.24.5-2
,1.24.5-1
,1.24.5-0
,1.22.13-0
,1.22.6-0
,1.22.4-0
,1.22.0-0
- Depends
bioconductor-annotationdbi
>=1.52.0,<1.53.0
bioconductor-biobase
>=2.50.0,<2.51.0
bioconductor-biocgenerics
>=0.36.0,<0.37.0
bioconductor-biomart
>=2.46.0,<2.47.0
bioconductor-biostrings
>=2.58.0,<2.59.0
bioconductor-genomeinfodb
>=1.26.0,<1.27.0
bioconductor-genomicranges
>=1.42.0,<1.43.0
bioconductor-iranges
>=2.24.0,<2.25.0
bioconductor-rtracklayer
>=1.50.0,<1.51.0
bioconductor-s4vectors
>=0.28.0,<0.29.0
bioconductor-xvector
>=0.30.0,<0.31.0
r-base
>=4.0,<4.1.0a0
r-rsqlite
>=2.0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-genomicfeatures
and update with:
conda update bioconductor-genomicfeatures
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-genomicfeatures:<tag>
(see bioconductor-genomicfeatures/tags for valid values for
<tag>
)
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-genomicfeatures/README.html)