recipe bioconductor-compartmap

Higher-order chromatin domain inference in single cells from scRNA-seq and scATAC-seq

Homepage

https://bioconductor.org/packages/3.14/bioc/html/compartmap.html

License

GPL-3 + file LICENSE

Recipe

/bioconductor-compartmap/meta.yaml

Compartmap performs direct inference of higher-order chromatin from scRNA-seq and scATAC-seq. This package implements a James-Stein estimator for computing single-cell level higher-order chromatin domains. Further, we utilize random matrix theory as a method to de-noise correlation matrices to achieve a similar "plaid-like" patterning as observed in Hi-C and scHi-C data.

package bioconductor-compartmap

Versions

1.12.0-0,  1.10.0-0,  1.8.0-1,  1.8.0-0,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.0.2-0

Depends

• bioconductor-biocsingular >=1.10.0,<1.11.0

• bioconductor-delayedarray >=0.20.0,<0.21.0

• bioconductor-delayedmatrixstats >=1.16.0,<1.17.0

• bioconductor-genomicranges >=1.46.0,<1.47.0

• bioconductor-hdf5array >=1.22.0,<1.23.0

• bioconductor-raggedexperiment >=1.18.0,<1.19.0

• bioconductor-rtracklayer >=1.54.0,<1.55.0

• bioconductor-summarizedexperiment >=1.24.0,<1.25.0

• r-base >=4.1,<4.2.0a0

• r-ggplot2

• r-matrix

• r-reshape2

• r-rmtstat

• r-scales

Required By

Installation

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

conda install bioconductor-compartmap

and update with:

conda update bioconductor-compartmap

or use the docker container:

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

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

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-compartmap/README.html)