recipe bioconductor-m3drop

Michaelis-Menten Modelling of Dropouts in single-cell RNASeq

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/M3Drop.html

License:

GPL (>=2)

Recipe:

/bioconductor-m3drop/meta.yaml

Links:

biotools: m3drop, doi: 10.1002/1873-3468.12684

This package fits a Michaelis-Menten model to the pattern of dropouts in single-cell RNASeq data. This model is used as a null to identify significantly variable (i.e. differentially expressed) genes for use in downstream analysis, such as clustering cells.

package bioconductor-m3drop

(downloads) docker_bioconductor-m3drop

Versions:
1.24.0-01.20.0-01.18.0-01.16.0-11.16.0-01.14.0-01.12.0-01.10.0-11.10.0-0

1.24.0-01.20.0-01.18.0-01.16.0-11.16.0-01.14.0-01.12.0-01.10.0-11.10.0-01.8.1-01.6.0-01.4.0-01.2.0-0

Depends:
Required By:

Installation

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

conda install bioconductor-m3drop

and update with:

conda update bioconductor-m3drop

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-m3drop:<tag>

(see bioconductor-m3drop/tags for valid values for <tag>)

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