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Toil enables reproducible, open source, big biomedical data analyses
Toil enables reproducible, open source, big biomedical data analysesVivian, John; Rao, Arjun Arkal; Nothaft, Frank Austin; Ketchum, Christopher; Armstrong, Joel
; et al.
Nature Biotechnology; New York Vol. 35, Iss. 4, (Apr 2017): 314-316.
DOI:10.1038/nbt.3772
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Title
Toil enables reproducible, open source, big biomedical data analyses
Author
Vivian, John; Rao, Arjun Arkal; Nothaft, Frank Austin; Ketchum, Christopher; Armstrong, Joel; Novak, Adam; Pfeil, Jacob; Narkizian, Jake; Deran, Alden D; Musselman-brown, Audrey; Schmidt, Hannes; Amstutz, Peter; Craft, Brian; Goldman, Mary; Rosenbloom, Kate; Cline, Melissa; O'connor, Brian; Hanna, Megan; Birger, Chet; Kent, W James; Patterson, David A; Joseph, Anthony D; Zhu, Jingchun; Zaranek, Sasha; Getz, Gad; Haussler, David; Paten, Benedict
Pages
314-316
Publication year
2017
Publication date
Apr 2017
ISSN
10870156
e-ISSN
15461696
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1886378168
Copyright
Copyright Nature Publishing Group Apr 2017





