recipe bioconductor-csar

Statistical tools for the analysis of ChIP-seq data

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/CSAR.html

License:

Artistic-2.0

Recipe:

/bioconductor-csar/meta.yaml

Statistical tools for ChIP-seq data analysis. The package includes the statistical method described in Kaufmann et al. (2009) PLoS Biology: 7(4):e1000090. Briefly, Taking the average DNA fragment size subjected to sequencing into account, the software calculates genomic single-nucleotide read-enrichment values. After normalization, sample and control are compared using a test based on the Poisson distribution. Test statistic thresholds to control the false discovery rate are obtained through random permutation.

package bioconductor-csar

Versions:

1.50.0-0,  1.46.0-2,  1.46.0-1,  1.46.0-0,  1.44.0-0,  1.42.0-1,  1.42.0-0,  1.40.0-0,  1.38.0-0, 

1.50.0-0,  1.46.0-2,  1.46.0-1,  1.46.0-0,  1.44.0-0,  1.42.0-1,  1.42.0-0,  1.40.0-0,  1.38.0-0,  1.36.0-1,  1.34.0-1,  1.34.0-0

Depends:

• 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-s4vectors >=0.36.0,<0.37.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• r-base >=4.2,<4.3.0a0

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-csar

and update with:

conda update bioconductor-csar

or use the docker container:

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

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

Download stats

Link to this page

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