AssessORF
Assess Gene Predictions Using Proteomics and Evolutionary Conservation
Bioconductor version: 3.24 · Package version: 1.31.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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
| Maintainer | Deepank Korandla <dkorandl@alumni.cmu.edu> |
| Author | Deepank Korandla [aut, cre], Erik Wright [aut] |
| License | GPL-3 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | ComparativeGenomics, GenePrediction, Genetics, GenomeAnnotation, Proteomics, QualityControl, Software, Visualization |
| Package Short Url | https://bioconductor.org/packages/AssessORF/ |
Citation
From within R, enter citation("AssessORF"):
Deepank Korandla, Erik Wright. AssessORF: Assess Gene Predictions Using Proteomics and Evolutionary Conservation. doi:10.18129/B9.bioc.AssessORF, R package version 1.31.0, https://bioconductor.org/packages/AssessORF.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | AssessORF_1.31.0.tar.gz |
| Windows binary (x86_64) | AssessORF_1.31.0.zip |
| macOS binary (arm64) | AssessORF_1.31.0.tgz |
| macOS binary (x86_64) | AssessORF_1.31.0.tgz |
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