Berghopper/GAPGOM: GAPGOM (novel Gene Annotation Prediction and other GO Metrics)

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.

Getting started

Package details

Bioconductor views GO GeneExpression GenePrediction
Maintainer
LicenseMIT + file LICENSE
Version1.5.1
URL https://github.com/Berghopper/GAPGOM/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("Berghopper/GAPGOM")
Berghopper/GAPGOM documentation built on July 2, 2020, 11:57 p.m.