CGAT-core: a python framework for building scalable, reproducible computational biology workflows (2019)
Abstract
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Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.12688/f1000research.18674.2
Publication URI: http://dx.doi.org/10.12688/f1000research.18674.2
Type: Journal Article/Review
Parent Publication: F1000Research