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

/bioconductor-signer/meta.yaml

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-class

• r-nloptr

• r-nmf

• r-pmcmr

• r-rcpp

• 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:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-signer/README.html)