recipe bioconductor-bioqc

Detect tissue heterogeneity in expression profiles with gene sets

Homepage

https://bioconductor.org/packages/3.14/bioc/html/BioQC.html

License

GPL (>=3) + file LICENSE

Recipe

/bioconductor-bioqc/meta.yaml

Links

biotools: bioqc, doi: 10.1186/s12864-017-3661-2

BioQC performs quality control of high-throughput expression data based on tissue gene signatures. It can detect tissue heterogeneity in gene expression data. The core algorithm is a Wilcoxon-Mann-Whitney test that is optimised for high performance.

package bioconductor-bioqc

Versions

1.22.0-1,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.10.0-0, 

1.22.0-1,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-0

Depends

• bioconductor-biobase >=2.54.0,<2.55.0

• bioconductor-edger >=3.36.0,<3.37.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=10.3.0

• liblapack >=3.8.0,<4.0a0

• libstdcxx-ng >=10.3.0

• r-base >=4.1,<4.2.0a0

• r-rcpp

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-bioqc

and update with:

conda update bioconductor-bioqc

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-bioqc:<tag>

(see bioconductor-bioqc/tags for valid values for <tag>)

Download stats

Link to this page

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