This is the development version of AssessORF; for the stable release version, see AssessORF.
Assess Gene Predictions Using Proteomics and Evolutionary ConservationBioconductor version: Development (3.22)
In order to assess the quality of a set of predicted genes for a genome, evidence must first be mapped to that genome. Next, each gene must be categorized based on how strong the evidence is for or against that gene. The AssessORF package provides the functions and class structures necessary for accomplishing those tasks, using proteomic hits and evolutionarily conserved start codons as the forms of evidence.
Author: Deepank Korandla [aut, cre], Erik Wright [aut]
Maintainer: Deepank Korandla <dkorandl at alumni.cmu.edu>
Citation (from within R, entercitation("AssessORF")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("AssessORF")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("AssessORF")
Details biocViews ComparativeGenomics, GenePrediction, Genetics, GenomeAnnotation, Proteomics, QualityControl, Software, Visualization Version 1.27.0 In Bioconductor since BioC 3.8 (R-3.5) (6.5 years) License GPL-3 Depends R (>= 3.5.0), DECIPHER(>= 2.10.0) Imports Biostrings, GenomicRanges, IRanges, graphics, grDevices, methods, stats, utils System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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