recipe bioconductor-gcapc

Peak calling for ChIP-seq data with consideration of potential GC bias in sequencing reads. GC bias is first estimated with generalized linear mixture models using effective GC strategy, then applied into peak significance estimation.

Homepage

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

License

GPL-3

Recipe

/bioconductor-gcapc/meta.yaml

package bioconductor-gcapc

(downloads) docker_bioconductor-gcapc

Versions

1.6.0-0

Depends
Required By

Installation

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

conda install bioconductor-gcapc

and update with:

conda update bioconductor-gcapc

or use the docker container:

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

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