recipe bioconductor-csar

Statistical tools for the analysis of ChIP-seq data

Homepage:

https://bioconductor.org/packages/3.14/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

(downloads) docker_bioconductor-csar

Versions:
1.46.0-21.46.0-11.46.0-01.44.0-01.42.0-11.42.0-01.40.0-01.38.0-01.36.0-1

1.46.0-21.46.0-11.46.0-01.44.0-01.42.0-11.42.0-01.40.0-01.38.0-01.36.0-11.34.0-11.34.0-0

Depends:
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>)

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