- recipe bioconductor-compartmap
Higher-order chromatin domain inference in single cells from scRNA-seq and scATAC-seq
- Homepage:
https://bioconductor.org/packages/3.17/bioc/html/compartmap.html
- License:
GPL-3 + file LICENSE
- Recipe:
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:
1.18.0-0
,1.16.0-0
,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
,1.18.0-0
,1.16.0-0
,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:
>=1.16.0,<1.17.0
- depends bioconductor-delayedarray:
>=0.26.0,<0.27.0
- depends bioconductor-delayedmatrixstats:
>=1.22.0,<1.23.0
- depends bioconductor-genomicranges:
>=1.52.0,<1.53.0
- depends bioconductor-hdf5array:
>=1.28.0,<1.29.0
- depends bioconductor-raggedexperiment:
>=1.24.0,<1.25.0
- depends bioconductor-rtracklayer:
>=1.60.0,<1.61.0
- depends bioconductor-summarizedexperiment:
>=1.30.0,<1.31.0
- depends r-base:
>=4.3,<4.4.0a0
- depends r-ggplot2:
- depends r-matrix:
- depends r-reshape2:
- depends r-rmtstat:
- depends r-scales:
- requirements:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-compartmap and update with:: mamba update bioconductor-compartmap
To create a new environment, run:
mamba create --name myenvname bioconductor-compartmap
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, 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)