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CGAT-core: a python framework for building scalable, reproducible computational biology workflows.

Adam P. CribbsSebastian Luna-ValeroCharlotte GeorgeIan M. SudberyAntonio J. Berlanga-TaylorStephen N. SansomTom SmithNicholas E. IlottJethro S. JohnsonJakub ScaberKatherine BrownDavid SimsAndreas Heger
Published in: F1000Research (2019)
Keyphrases
  • computational biology
  • main contribution
  • machine learning
  • data processing
  • natural language processing
  • programming language
  • lightweight
  • artificial intelligence
  • probabilistic model
  • molecular biology