- recipe bioconductor-geneattribution
Identification of candidate genes associated with genetic variation
- Homepage:
https://bioconductor.org/packages/3.14/bioc/html/geneAttribution.html
- License:
Artistic-2.0
- Recipe:
- Links:
biotools: geneattribution, doi: 10.1093/bioinformatics/btw698
Identification of the most likely gene or genes through which variation at a given genomic locus in the human genome acts. The most basic functionality assumes that the closer gene is to the input locus, the more likely the gene is to be causative. Additionally, any empirical data that links genomic regions to genes (e.g. eQTL or genome conformation data) can be used if it is supplied in the UCSC .BED file format.
- package bioconductor-geneattribution¶
-
- Versions:
1.20.0-0
,1.18.0-0
,1.16.0-1
,1.16.0-0
,1.14.0-0
,1.12.0-0
,1.10.0-1
,1.8.0-0
,1.6.0-0
,1.20.0-0
,1.18.0-0
,1.16.0-1
,1.16.0-0
,1.14.0-0
,1.12.0-0
,1.10.0-1
,1.8.0-0
,1.6.0-0
,1.4.0-0
- Depends:
bioconductor-biocgenerics
>=0.40.0,<0.41.0
bioconductor-genomeinfodb
>=1.30.0,<1.31.0
bioconductor-genomicfeatures
>=1.46.0,<1.47.0
bioconductor-genomicranges
>=1.46.0,<1.47.0
bioconductor-iranges
>=2.28.0,<2.29.0
bioconductor-org.hs.eg.db
>=3.14.0,<3.15.0
bioconductor-rtracklayer
>=1.54.0,<1.55.0
r-base
>=4.1,<4.2.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-geneattribution
and update with:
conda update bioconductor-geneattribution
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-geneattribution:<tag>
(see bioconductor-geneattribution/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-geneattribution/README.html)