recipe bioconductor-signer

Empirical Bayesian approach to mutational signature discovery

Homepage:

https://bioconductor.org/packages/3.16/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:

2.0.0-0,  1.20.0-2,  1.20.0-1,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.14.0-0,  1.12.0-0, 

2.0.0-0,  1.20.0-2,  1.20.0-1,  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,  1.6.1-0,  1.4.0-0,  1.2.2-0,  1.0.1-0

Depends:

• bioconductor-biocfilecache >=2.6.0,<2.7.0

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-biostrings >=2.66.0,<2.67.0

• bioconductor-bsgenome >=1.66.0,<1.67.0

• bioconductor-genomeinfodb >=1.34.0,<1.35.0

• bioconductor-genomicranges >=1.50.0,<1.51.0

• bioconductor-iranges >=2.32.0,<2.33.0

• bioconductor-rtracklayer >=1.58.0,<1.59.0

• bioconductor-variantannotation >=1.44.0,<1.45.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• libstdcxx-ng >=12

• r-ada

• r-base >=4.2,<4.3.0a0

• r-bsplus

• r-class

• r-clue

• r-cowplot

• r-dplyr

• r-dt

• r-e1071

• r-future

• r-future.apply

• r-ggplot2

• r-ggpubr

• r-glmnet

• r-kknn

• r-listenv

• r-magrittr

• r-mass

• r-maxstat

• r-nloptr

• r-nmf

• r-pheatmap

• r-pmcmrplus

• r-ppclust

• r-proc

• r-proxy

• r-pvclust

• r-randomforest

• r-rcolorbrewer

• r-rcpp

• r-rcpparmadillo >=0.7.100

• r-readr

• r-reshape2

• r-scales

• r-shiny

• r-shinycssloaders

• r-shinydashboard

• r-shinywidgets

• r-survival

• r-survivalanalysis

• r-survminer

• r-tibble

• r-tidyr

• r-vgam

Required By:

Installation

With an activated Bioconda channel (see 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>)

Download stats

Link to this page

Render an badge with the following MarkDown:

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