GAPGOM
This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.
GAPGOM (novel Gene Annotation Prediction and other GO Metrics)
Bioconductor version: Release (3.17)
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.
Author: Rezvan Ehsani [aut, cre], Casper van Mourik [aut], Finn Drabløs [aut]
Maintainer: Rezvan Ehsani <rezvanehsani74 at gmail.com>
citation("GAPGOM")
):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GAPGOM")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual |
Details
biocViews | GO, GeneExpression, GenePrediction, Software |
Version | 1.16.0 |
In Bioconductor since | BioC 3.9 (R-3.6) (4.5 years) |
License | MIT + file LICENSE |
Depends | R (>= 4.0) |
Imports | stats, utils, methods, Matrix, fastmatch, plyr, dplyr, magrittr, data.table, igraph, graph, RBGL, GO.db, org.Hs.eg.db, org.Mm.eg.db, GOSemSim, GEOquery, AnnotationDbi, Biobase, BiocFileCache, matrixStats |
Linking To | |
Suggests | org.Dm.eg.db, org.Rn.eg.db, org.Sc.sgd.db, org.Dr.eg.db, org.Ce.eg.db, org.At.tair.db, org.EcK12.eg.db, org.Bt.eg.db, org.Cf.eg.db, org.Ag.eg.db, org.EcSakai.eg.db, org.Gg.eg.db, org.Pt.eg.db, org.Pf.plasmo.db, org.Mmu.eg.db, org.Ss.eg.db, org.Xl.eg.db, testthat, pryr, knitr, rmarkdown, prettydoc, ggplot2, kableExtra, profvis, reshape2 |
System Requirements | |
Enhances | |
URL | https://github.com/Berghopper/GAPGOM/ |
Bug Reports | https://github.com/Berghopper/GAPGOM/issues/ |
See More
Depends On Me | |
Imports Me | |
Suggests Me | |
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Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/GAPGOM |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/GAPGOM |
Package Short Url | https://bioconductor.org/packages/GAPGOM/ |
Package Downloads Report | Download Stats |