CGAT-core: a python framework for building scalable, reproducible computational biology workflows
Adam P. Cribbs, Sebastián Luna-Valero, Charlotte L. George, Ian M. Sudbery, Antonio J. Berlanga‐Taylor, Stephen Nicholas Sansom, Tom S. Smith, Nicholas Edward Ilott, Jethro S. Johnson, Jakub Scaber, Katherine A. Brown, David Sims, Andreas Heger
CGAT-core is a Python framework for building scalable, reproducible computational biology workflows, demonstrated with an RNAseq analysis pipeline.
F1000Research · Apr 4, 2019Peer-reviewedGenomics