# --------------------------------------------
# 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 "tidytof" in publications use:'
type: software
license: MIT
title: 'tidytof: Analyze High-dimensional Cytometry Data Using Tidy Data Principles'
version: 0.99.8
doi: 10.18129/B9.bioc.tidytof
identifiers:
- type: doi
  value: 10.32614/CRAN.package.tidytof
- type: url
  value: https://keyes-timothy.github.io/tidytof/
abstract: This package implements an interactive, scientific analysis pipeline for
  high-dimensional cytometry data built using tidy data principles. It is specifically
  designed to play well with both the tidyverse and Bioconductor software ecosystems,
  with functionality for reading/writing data files, data cleaning, preprocessing,
  clustering, visualization, modeling, and other quality-of-life functions. tidytof
  implements a "grammar" of high-dimensional cytometry data analysis.
authors:
- family-names: Keyes
  given-names: Timothy
  email: tkeyes@stanford.edu
  orcid: https://orcid.org/0000-0003-0423-9679
preferred-citation:
  type: manual
  title: 'tidytof: a user-friendly framework for scalable and reproducible high-dimensional
    cytometry data analysis'
  authors:
  - family-names: Keyes
    given-names: Timothy
    email: tkeyes@stanford.edu
    orcid: https://orcid.org/0000-0003-0423-9679
  - family-names: Davis
    given-names: Kara
    email: kldavis@stanford.edu
  - family-names: Nolan
    given-names: Garry
    email: gnolan@stanford.edu
  year: '2024'
  url: http://www.bioconductor.org/packages/tidytof
  notes: https://github.com/keyes-timothy/tidytof/tidytof - R package version 0.99.8
  doi: 10.18129/B9.bioc.tidytof
repository: https://bioc.r-universe.dev
repository-code: https://github.com/keyes-timothy/tidytof
commit: ace89c75b5a2a64971cc206b0c3e8401881434a0
url: https://keyes-timothy.github.io/tidytof
contact:
- family-names: Keyes
  given-names: Timothy
  email: tkeyes@stanford.edu
  orcid: https://orcid.org/0000-0003-0423-9679
references:
- type: article
  title: 'tidytof: a user-friendly framework for scalable and reproducible high-dimensional
    cytometry data analysis'
  authors:
  - name: Keyes
  - family-names: J.
    given-names: Timothy
  - name: Koladiya
  - name: Abhishek
  - name: Lo
  - name: Yu-Chen
  - name: Nolan
  - family-names: P.
    given-names: Garry
  - name: Davis
  - family-names: L.
    given-names: Kara
  year: '2023'
  journal: Bioinformatics Advances
  volume: '3'
  issue: '1'
  doi: 10.1093/bioadv/vbad071
  url: https://academic.oup.com/bioinformaticsadvances/article/3/1/vbad071/7192984