# --------------------------------------------
# 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 "idpr" in publications use:'
type: software
license: LGPL-3.0-or-later
title: 'idpr: Profiling and Analyzing Intrinsically Disordered Proteins in R'
version: 1.15.0
doi: 10.1371/journal.pone.0266929
identifiers:
- type: doi
  value: 10.32614/CRAN.package.idpr
abstract: '‘idpr’ aims to integrate tools for the computational analysis of intrinsically
  disordered proteins (IDPs) within R. This package is used to identify known characteristics
  of IDPs for a sequence of interest with easily reported and dynamic results. Additionally,
  this package includes tools for IDP-based sequence analysis to be used in conjunction
  with other R packages. Described in McFadden WM & Yanowitz JL (2022). "idpr: A package
  for profiling and analyzing Intrinsically Disordered Proteins in R." PloS one, 17(4),
  e0266929. <https://doi.org/10.1371/journal.pone.0266929>.'
authors:
- family-names: McFadden
  given-names: William M.
  email: wmm27@pitt.edu
- family-names: Yanowitz
  given-names: Judith L.
  email: yanowitzjl@mwri.magee.edu
preferred-citation:
  type: article
  title: 'idpr: A package for profiling and analyzing Intrinsically Disordered Proteins
    in R'
  authors:
  - family-names: McFadden
    given-names: William M
  - family-names: Yanowitz
    given-names: Judith L
  journal: PLOS ONE
  publisher:
    name: Public Library of Science
  year: '2022'
  volume: '17'
  issue: '4'
  doi: 10.1371/journal.pone.0266929
  url: https://doi.org/10.1371/journal.pone.0266929
  start: e0266929
repository: https://bioc.r-universe.dev
repository-code: https://github.com/wmm27/idpr
commit: 39cef0b915e5be6b7da794854f4cb9d4b8cc9849
url: https://github.com/wmm27/idpr
date-released: '2024-04-23'
contact:
- family-names: McFadden
  given-names: William M.
  email: wmm27@pitt.edu