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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "AssessORF" in publications use:'
type: software
license: GPL-3.0-only
title: 'AssessORF: Assess Gene Predictions Using Proteomics and Evolutionary Conservation'
version: 1.23.0
doi: 10.1093/bioinformatics/btz714
identifiers:
- type: doi
  value: 10.32614/CRAN.package.AssessORF
abstract: 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.
authors:
- family-names: Korandla
  given-names: Deepank
  email: dkorandl@alumni.cmu.edu
- family-names: Wright
  given-names: Erik
  email: eswright@pitt.edu
preferred-citation:
  type: article
  title: 'AssessORF: combining evolutionary conservation and proteomics to assess
    prokaryotic gene predictions'
  authors:
  - family-names: Korandla
    given-names: Deepank R.
  - family-names: Wozniak
    given-names: Jacob M.
  - family-names: Campeau
    given-names: Anaamika
  - family-names: Gonzalez
    given-names: David J.
  - family-names: Wright
    given-names: Erik S.
  journal: Bioinformatics
  publisher:
    name: Oxford Univeristy Press
  year: '2019'
  doi: 10.1093/bioinformatics/btz714
repository: https://bioc.r-universe.dev
commit: 4dd204908bce422adf38ce3e06df22c02bd0afe9
date-released: '2024-04-09'
contact:
- family-names: Korandla
  given-names: Deepank
  email: dkorandl@alumni.cmu.edu