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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 "RaMS" in publications use:'
type: software
license: MIT
title: 'RaMS: R Access to Mass-Spec Data'
version: 1.4.0
doi: 10.32614/RJ-2022-050
identifiers:
- type: doi
  value: 10.32614/CRAN.package.RaMS
abstract: R-based access to mass-spectrometry (MS) data. While many packages exist
  to process MS data, many of these make it difficult to access the underlying mass-to-charge
  ratio (m/z), intensity, and retention time of the files themselves. This package
  is designed to format MS data in a tidy fashion and allows the user perform the
  plotting and analysis.
authors:
- family-names: Kumler
  given-names: William
  email: wkumler@uw.edu
preferred-citation:
  type: article
  title: Tidy Data Neatly Resolves Mass-Spectrometry’s Ragged Arrays
  authors:
  - family-names: Kumler
    given-names: William
    email: wkumler@uw.edu
  - family-names: Ingalls
    given-names: Anitra E.
  journal: R Journal
  year: '2022'
  volume: '14'
  issue: '3'
  doi: 10.32614/RJ-2022-050
  start: 193-202
repository: https://wkumler.r-universe.dev
repository-code: https://github.com/wkumler/RaMS
commit: 5c35c7b1e21449ef6cd3a2f3dc282cc0d881b126
url: https://github.com/wkumler/RaMS
contact:
- family-names: Kumler
  given-names: William
  email: wkumler@uw.edu