recipe bioconductor-gapgom

GAPGOM (novel Gene Annotation Prediction and other GO Metrics)

Homepage

https://bioconductor.org/packages/3.10/bioc/html/GAPGOM.html

License

MIT + file LICENSE

Recipe

/bioconductor-gapgom/meta.yaml

Collection of various measures and tools for lncRNA annotation prediction put inside a redistributable R package. The package contains two main algorithms; lncRNA2GOA and TopoICSim. lncRNA2GOA tries to annotate novel genes (in this specific case lncRNAs) by using various correlation/geometric scoring methods on correlated expression data. After correlating/scoring, the results are annotated and enriched. TopoICSim is a topologically based method, that compares gene similarity based on the topology of the GO DAG by information content (IC) between GO terms.

package bioconductor-gapgom

(downloads) docker_bioconductor-gapgom

Versions

1.2.0-0, 1.0.0-1

Depends
Required By

Installation

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

conda install bioconductor-gapgom

and update with:

conda update bioconductor-gapgom

or use the docker container:

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

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