-
recipe
bioconductor-signer
Empirical Bayesian approach to mutational signature discovery
- Homepage
https://bioconductor.org/packages/3.12/bioc/html/signeR.html
- License
GPL-3
- Recipe
- Links
biotools: signer
The signeR package provides an empirical Bayesian approach to mutational signature discovery. It is designed to analyze single nucleotide variaton (SNV) counts in cancer genomes, but can also be applied to other features as well. Functionalities to characterize signatures or genome samples according to exposure patterns are also provided.
-
package
bioconductor-signer
¶ -
- Versions
1.16.0-0
,1.14.0-0
,1.12.0-0
,1.10.0-1
,1.8.0-0
,1.6.1-0
,1.4.0-0
,1.2.2-0
,1.0.1-0
- Depends
bioconductor-biocgenerics
>=0.36.0,<0.37.0
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-variantannotation
>=1.36.0,<1.37.0
libblas
>=3.8.0,<4.0a0
libgcc-ng
>=7.5.0
liblapack
>=3.8.0,<4.0a0
libstdcxx-ng
>=7.5.0
r-base
>=4.0,<4.1.0a0
r-rcpparmadillo
>=0.7.100
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-signer
and update with:
conda update bioconductor-signer
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-signer:<tag>
(see bioconductor-signer/tags for valid values for
<tag>
)
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-signer/README.html)