recipe stream_atac

STREAM-Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data. Preprocessing steps for single cell atac-seq data.

Homepage:

https://github.com/pinellolab/STREAM_atac

License:

AGPL-3

Recipe:

/stream_atac/meta.yaml

package stream_atac

Versions:

0.3.5-5,  0.3.5-4,  0.3.5-3,  0.3.5-2,  0.3.5-1,  0.3.5-0,  0.3.4-2,  0.3.4-1,  0.3.4-0, 

0.3.5-5,  0.3.5-4,  0.3.5-3,  0.3.5-2,  0.3.5-1,  0.3.5-0,  0.3.4-2,  0.3.4-1,  0.3.4-0,  0.3.3-0,  0.3.3a-0,  0.3.2-0,  0.3.1-1,  0.3.1-0,  0.3.0-0,  0.2.0-1,  0.2.0-0,  0.1.0-0

Depends:

• anndata

• bioconductor-bsgenome.hsapiens.ucsc.hg19

• bioconductor-bsgenome.hsapiens.ucsc.hg38

• bioconductor-bsgenome.mmusculus.ucsc.mm10

• bioconductor-bsgenome.mmusculus.ucsc.mm9

• bioconductor-chromvar

• bioconductor-jaspar2016

• bioconductor-motifmatchr

• perl

• python >=3

• r-base

• r-essentials

• r-optparse

• rpy2 2.9.*

• scikit-learn

• unzip

• wget

• zip

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install stream_atac

and update with:

conda update stream_atac

or use the docker container:

docker pull quay.io/biocontainers/stream_atac:<tag>

(see stream_atac/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/stream_atac/README.html)