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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 "squallms" in publications use:'
type: software
license: MIT
title: 'squallms: Speedy quality assurance via lasso labeling for LC-MS data'
version: 0.99.6
doi: 10.1186/s12859-023-05533-4
abstract: squallms is a Bioconductor R package that implements a "semi-labeled" approach
  to untargeted mass spectrometry data. It pulls in raw data from mass-spec files
  to calculate several metrics that are then used to label MS features in bulk as
  high or low quality. These metrics of peak quality are then passed to a simple logistic
  model that produces a fully-labeled dataset suitable for downstream analysis.
authors:
- family-names: Kumler
  given-names: William
  email: wkumler@uw.edu
  orcid: https://orcid.org/0000-0002-5022-8009
preferred-citation:
  type: article
  title: 'Picky with peakpicking: assessing chromatographic peak quality with simple
    metrics in metabolomics'
  authors:
  - family-names: Kumler
    given-names: William
    email: wkumler@uw.edu
    orcid: https://orcid.org/0000-0002-5022-8009
  - family-names: Hazelton
    given-names: Bryna J.
  - family-names: Ingalls
    given-names: Anitra E
  journal: BMC Bioinformatics
  year: '2023'
  volume: '24'
  doi: 10.1186/s12859-023-05533-4
repository: https://bioc.r-universe.dev
repository-code: https://github.com/wkumler/squallms
url: https://github.com/wkumler/squallms
contact:
- family-names: Kumler
  given-names: William
  email: wkumler@uw.edu
  orcid: https://orcid.org/0000-0002-5022-8009