recipe bioconductor-bifet

BiFET identifies TFs whose footprints are over-represented in target regions compared to background regions after correcting for the bias arising from the imbalance in read counts and GC contents between the target and background regions. For a given TF k, BiFET tests the null hypothesis that the target regions have the same probability of having footprints for the TF k as the background regions while correcting for the read count and GC content bias. For this, we use the number of target regions with footprints for TF k, t_k as a test statistic and calculate the p-value as the probability of observing t_k or more target regions with footprints under the null hypothesis.

Homepage

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

License

GPL-3

Recipe

/bioconductor-bifet/meta.yaml

package bioconductor-bifet

(downloads) docker_bioconductor-bifet

Versions

1.2.0-0

Depends
Required By

Installation

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

conda install bioconductor-bifet

and update with:

conda update bioconductor-bifet

or use the docker container:

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

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