recipe bioconductor-normr

Robust normalization and difference calling procedures for ChIP-seq and alike data. Read counts are modeled jointly as a binomial mixture model with a user-specified number of components. A fitted background estimate accounts for the effect of enrichment in certain regions and, therefore, represents an appropriate null hypothesis. This robust background is used to identify significantly enriched or depleted regions.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/normr.html

License

GPL-2

Recipe

/bioconductor-normr/meta.yaml

package bioconductor-normr

(downloads) docker_bioconductor-normr

Versions

1.10.0-1, 1.8.0-0

Depends
Required By

Installation

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

conda install bioconductor-normr

and update with:

conda update bioconductor-normr

or use the docker container:

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

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