recipe bioconductor-chipcomp

Quantitative comparison of multiple ChIP-seq datasets

Homepage

https://bioconductor.org/packages/3.11/bioc/html/ChIPComp.html

License

GPL

Recipe

/bioconductor-chipcomp/meta.yaml

Links

biotools: chipcomp

ChIPComp detects differentially bound sharp binding sites across multiple conditions considering matching control.

package bioconductor-chipcomp

Versions

1.18.0-0,  1.16.0-0,  1.14.0-1,  1.12.0-0,  1.10.0-0,  1.8.0-0,  1.6.0-0,  1.0.0-0

Depends

• bioconductor-biocgenerics >=0.34.0,<0.35.0

• bioconductor-bsgenome.hsapiens.ucsc.hg19 >=1.4.0,<1.5.0

• bioconductor-bsgenome.mmusculus.ucsc.mm9 >=1.4.0,<1.5.0

• bioconductor-genomeinfodb >=1.24.0,<1.25.0

• bioconductor-genomicranges >=1.40.0,<1.41.0

• bioconductor-iranges >=2.22.0,<2.23.0

• bioconductor-limma >=3.44.0,<3.45.0

• bioconductor-rsamtools >=2.4.0,<2.5.0

• bioconductor-rtracklayer >=1.48.0,<1.49.0

• bioconductor-s4vectors >=0.26.0,<0.27.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=7.3.0

• liblapack >=3.8.0,<3.9.0a0

• r-base >=4.0,<4.1.0a0

Required By

Installation

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

conda install bioconductor-chipcomp

and update with:

conda update bioconductor-chipcomp

or use the docker container:

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

(see bioconductor-chipcomp/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-chipcomp/README.html)