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AssessORF

Assess Gene Predictions Using Proteomics and Evolutionary Conservation

Bioconductor version: 3.23 · Package version: 1.30.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("AssessORF")

Details

MaintainerDeepank Korandla <dkorandl@alumni.cmu.edu>
AuthorDeepank Korandla [aut, cre], Erik Wright [aut]
LicenseGPL-3
Downloads rank320
Source branchRELEASE_3_23
biocViewsComparativeGenomics, GenePrediction, Genetics, GenomeAnnotation, Proteomics, QualityControl, Software, Visualization

Documentation

Download

Dependencies

Depends: R (>= 3.5.0), DECIPHER (>= 2.10.0)

Imports: Biostrings, GenomicRanges, IRanges, graphics, grDevices, methods, stats, utils

Suggests: AssessORFData, BiocStyle, knitr, rmarkdown, RSQLite (>= 1.1)

Reverse dependencies

Suggests Me (1): AssessORFData