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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 "twoddpcr" in publications use:'
type: software
license: GPL-3.0-only
title: 'twoddpcr: Classify 2-d Droplet Digital PCR (ddPCR) data and quantify the number
  of starting molecules'
version: 1.29.0
abstract: The twoddpcr package takes Droplet Digital PCR (ddPCR) droplet amplitude
  data from Bio-Rad's QuantaSoft and can classify the droplets. A summary of the positive/negative
  droplet counts can be generated, which can then be used to estimate the number of
  molecules using the Poisson distribution. This is the first open source package
  that facilitates the automatic classification of general two channel ddPCR data.
  Previous work includes 'definetherain' (Jones et al., 2014) and 'ddpcRquant' (Trypsteen
  et al., 2015) which both handle one channel ddPCR experiments only. The 'ddpcr'
  package available on CRAN (Attali et al., 2016) supports automatic gating of a specific
  class of two channel ddPCR experiments only.
authors:
- family-names: Chiu
  given-names: Anthony
  email: anthony@achiu.me
preferred-citation:
  type: article
  title: 'twoddpcr: An R/Bioconductor package and Shiny app for Droplet Digital PCR
    analysis'
  authors:
  - family-names: Chiu
    given-names: Anthony
    email: anthony@achiu.me
  - family-names: Ayub
    given-names: Mahmood
  - family-names: Dive
    given-names: Caroline
  - family-names: Brady
    given-names: Ged
  - family-names: Miller
    given-names: Crispin
  journal: Bioinformatics
  publisher:
    name: Oxford University Press
  year: '2017'
repository: https://bioc.r-universe.dev
repository-code: http://github.com/CRUKMI-ComputationalBiology/twoddpcr/issues/
url: http://github.com/CRUKMI-ComputationalBiology/twoddpcr/
contact:
- family-names: Chiu
  given-names: Anthony
  email: anthony@achiu.me