recipe bioconductor-ebseqhmm

Bayesian analysis for identifying gene or isoform expression changes in ordered RNA-seq experiments

Homepage

https://bioconductor.org/packages/3.11/bioc/html/EBSeqHMM.html

License

Artistic-2.0

Recipe

/bioconductor-ebseqhmm/meta.yaml

The EBSeqHMM package implements an auto-regressive hidden Markov model for statistical analysis in ordered RNA-seq experiments (e.g. time course or spatial course data). The EBSeqHMM package provides functions to identify genes and isoforms that have non-constant expression profile over the time points/positions, and cluster them into expression paths.

package bioconductor-ebseqhmm

(downloads) docker_bioconductor-ebseqhmm

Versions

1.22.0-0, 1.20.0-0, 1.18.0-1, 1.18.0-0, 1.16.1-0, 1.16.0-0

Depends
Required By

Installation

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

conda install bioconductor-ebseqhmm

and update with:

conda update bioconductor-ebseqhmm

or use the docker container:

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

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