Package: AssessORF
Type: Package
Title: Assess Gene Predictions Using Proteomics and Evolutionary
        Conservation
Version: 1.31.0
Date: 2024-04-09
Authors@R: c(
    person("Deepank", "Korandla", email = "dkorandl@alumni.cmu.edu", role = c("aut", "cre")),
    person("Erik", "Wright", email = "eswright@pitt.edu", role = "aut"))
Description: 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.
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)
biocViews: ComparativeGenomics, GenePrediction, GenomeAnnotation,
        Genetics, Proteomics, QualityControl, Visualization
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Config/pak/sysreqs: zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:49:05 UTC
RemoteUrl: https://github.com/bioc/AssessORF
RemoteRef: HEAD
RemoteSha: 95a07ad697fbf427fc3d6a5b609171dd44a74497
Packaged: 2026-06-21 10:57:45 UTC; root
Author: Deepank Korandla [aut, cre],
  Erik Wright [aut]
Maintainer: Deepank Korandla <dkorandl@alumni.cmu.edu>