CGAT-core: a python framework for building scalable, reproducible computational biology workflows (2019)

Abstract

No abstract provided

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