recipe bioconductor-bioqc

Detect tissue heterogeneity in expression profiles with gene sets

Homepage:

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

1.26.0-0,  1.22.0-2,  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, 

1.26.0-0,  1.22.0-2,  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 >=2.58.0,<2.59.0

• bioconductor-edger >=3.40.0,<3.41.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• libstdcxx-ng >=12

• r-base >=4.2,<4.3.0a0

• r-rcpp

Required By:

Installation

With an activated Bioconda channel (see 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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