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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "KinSwingR" in publications use:'
type: software
license: GPL-3.0-only
title: 'KinSwingR: KinSwingR: network-based kinase activity prediction'
version: 1.23.0
abstract: KinSwingR integrates phosphosite data derived from mass-spectrometry data
  and kinase-substrate predictions to predict kinase activity. Several functions allow
  the user to build PWM models of kinase-subtrates, statistically infer PWM:substrate
  matches, and integrate these data to infer kinase activity.
authors:
- family-names: Waardenberg
  given-names: Ashley J.
  email: a.waardenberg@gmail.com
repository: https://bioc.r-universe.dev
contact:
- family-names: Waardenberg
  given-names: Ashley J.
  email: a.waardenberg@gmail.com