recipe cellrank

Continuous Lineage Decisions Uncovered by RNA Velocity

Homepage

https://github.com/theislab/cellrank

Documentation

http://cellrank.org

License

BSD

Recipe

/cellrank/meta.yaml

CellRank is a toolkit to uncover cellular dynamics based on scRNA-seq data with RNA velocity annotation, see La Manno et al. (2018) and Bergen et al. (2019). CellRank models cellular dynamics as a Markov chain, where transition probabilities are computed based on RNA velocity and transcriptomic similarity, taking into account uncertainty in the velocities.

package cellrank

(downloads) docker_cellrank

Versions
1.0.0-01.0.0rc12-01.0.0rc10-01.0.0rc9-01.0.0rc8-01.0.0rc7-01.0.0rc6-01.0.0rc4-01.0.0rc2-0

1.0.0-01.0.0rc12-01.0.0rc10-01.0.0rc9-01.0.0rc8-01.0.0rc7-01.0.0rc6-01.0.0rc4-01.0.0rc2-01.0.0rc0-01.0.0b3-0

Depends
Required By

Installation

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

conda install cellrank

and update with:

conda update cellrank

or use the docker container:

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

(see cellrank/tags for valid values for <tag>)

package cellrank-krylov

(downloads) docker_cellrank-krylov

Versions
1.0.0-01.0.0rc12-01.0.0rc10-01.0.0rc9-01.0.0rc8-01.0.0rc7-01.0.0rc6-01.0.0rc4-01.0.0rc2-0

1.0.0-01.0.0rc12-01.0.0rc10-01.0.0rc9-01.0.0rc8-01.0.0rc7-01.0.0rc6-01.0.0rc4-01.0.0rc2-01.0.0rc0-0

Depends
Required By

Installation

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

conda install cellrank-krylov

and update with:

conda update cellrank-krylov

or use the docker container:

docker pull quay.io/biocontainers/cellrank-krylov:<tag>

(see cellrank-krylov/tags for valid values for <tag>)