Package: AssessORF
Type: Package
Title: Assess Gene Predictions Using Proteomics and Evolutionary
        Conservation
Version: 1.2.0
Date: 2019-04-29
Authors@R: c(
    person("Deepank", "Korandla", email = "dkorandl@andrew.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
biocViews: ComparativeGenomics, GenePrediction, GenomeAnnotation,
        Genetics, Proteomics, QualityControl, Visualization
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
RoxygenNote: 6.1.1
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/AssessORF
git_branch: RELEASE_3_9
git_last_commit: 7c9fb99
git_last_commit_date: 2019-05-02
Date/Publication: 2019-05-02
Packaged: 2019-05-03 05:32:04 UTC; biocbuild
Author: Deepank Korandla [aut, cre],
  Erik Wright [aut]
Maintainer: Deepank Korandla <dkorandl@andrew.cmu.edu>
Built: R 3.6.0; ; 2019-05-03 12:50:59 UTC; windows
