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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 "bioassayR" in publications use:'
type: software
license: Artistic-2.0
title: 'bioassayR: Cross-target analysis of small molecule bioactivity'
version: 1.43.0
doi: 10.1021/acs.jcim.6b00109
identifiers:
- type: doi
  value: 10.32614/CRAN.package.bioassayR
abstract: bioassayR is a computational tool that enables simultaneous analysis of
  thousands of bioassay experiments performed over a diverse set of compounds and
  biological targets. Unique features include support for large-scale cross-target
  analyses of both public and custom bioassays, generation of high throughput screening
  fingerprints (HTSFPs), and an optional preloaded database that provides access to
  a substantial portion of publicly available bioactivity data.
authors:
- family-names: Cassol
  given-names: Daniela
  email: danicassol@gmail.com
- family-names: Backman
  given-names: Tyler
- family-names: Schlenk
  given-names: Ronly
- family-names: Girke
  given-names: Thomas
preferred-citation:
  type: article
  title: 'bioassayR: Cross-Target Analysis of Small Molecule Bioactivity'
  authors:
  - name: Backman
  - family-names: H
    given-names: Tyler William
  - name: Girke
  - name: Thomas
  abstract: Despite a large and rapidly growing body of small molecule bioactivity
    screens available in the public domain, systematic leverage of the data to assess
    target druggability and compound selectivity has been confounded by a lack of
    suitable cross-target analysis software. We have developed bioassayR, a computational
    tool that enables simultaneous analysis of thousands of bioassay experiments performed
    over a diverse set of compounds and biological targets. Unique features include
    support for large-scale cross-target analyses of both public and custom bioassays,
    generation of high throughput screening fingerprints (HTSFPs), and an optional
    preloaded database that provides access to a substantial portion of publicly available
    bioactivity data. bioassayR is implemented as an open-source R/Bioconductor package
    available from https://bioconductor.org/packages/bioassayR/ .
  journal: J. Chem. Inf. Model.
  volume: '56'
  issue: '7'
  month: '7'
  year: '2016'
  doi: 10.1021/acs.jcim.6b00109
  url: https://doi.org/10.1021/acs.jcim.6b00109
  start: '1237'
  end: '1242'
repository: https://bioc.r-universe.dev
repository-code: https://github.com/girke-lab/bioassayR
commit: 76ecf25b49aa340f5b5c1032fc53ceb1d552f32b
url: https://github.com/girke-lab/bioassayR
date-released: '2021-12-04'
contact:
- family-names: Cassol
  given-names: Daniela
  email: danicassol@gmail.com