recipe bioconductor-stan

The Genomic STate ANnotation Package

Homepage:

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

License:

GPL (>= 2)

Recipe:

/bioconductor-stan/meta.yaml

Links:

biotools: stan

Genome segmentation with hidden Markov models has become a useful tool to annotate genomic elements, such as promoters and enhancers. STAN (genomic STate ANnotation) implements (bidirectional) hidden Markov models (HMMs) using a variety of different probability distributions, which can model a wide range of current genomic data (e.g. continuous, discrete, binary). STAN de novo learns and annotates the genome into a given number of 'genomic states'. The 'genomic states' may for instance reflect distinct genome-associated protein complexes (e.g. 'transcription states') or describe recurring patterns of chromatin features (referred to as 'chromatin states'). Unlike other tools, STAN also allows for the integration of strand-specific (e.g. RNA) and non-strand-specific data (e.g. ChIP).

package bioconductor-stan

(downloads) docker_bioconductor-stan

Versions:
2.26.0-02.22.0-22.22.0-12.22.0-02.20.0-02.18.0-12.18.0-02.16.0-02.14.0-0

2.26.0-02.22.0-22.22.0-12.22.0-02.20.0-02.18.0-12.18.0-02.16.0-02.14.0-02.12.0-12.10.0-02.8.0-02.6.0-0

Depends:
Required By:

Installation

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

conda install bioconductor-stan

and update with:

conda update bioconductor-stan

or use the docker container:

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

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

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