recipe bioconductor-chrogps

We provide intuitive maps to visualize, analyze and compare the association between genetic elements based on their epigenetic profiles. The approach is based on Multi-Dimensional Scaling, and includes a parallelized implementation for handling high dimensional datasets. We provide several sensible distance metrics, and adjustment procedures to remove systematic biases typically observed when merging data obtained under different technologies or genetic backgrounds. We also provide functions and methods to perform differential analysis of epigenome maps at factor and gene level.

Homepage

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

License

GPL (>=2.14)

Recipe

/bioconductor-chrogps/meta.yaml

package bioconductor-chrogps

(downloads) docker_bioconductor-chrogps

Versions

2.0.1-0

Depends
Required By

Installation

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

conda install bioconductor-chrogps

and update with:

conda update bioconductor-chrogps

or use the docker container:

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

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