Toil enables reproducible, open source, big biomedical data analyses
Nat Biotechnol
.
2017 Apr 11;35(4):314-316.
doi: 10.1038/nbt.3772.
Authors
John Vivian
1
,
Arjun Arkal Rao
1
,
Frank Austin Nothaft
2
3
,
Christopher Ketchum
1
,
Joel Armstrong
1
,
Adam Novak
1
,
Jacob Pfeil
1
,
Jake Narkizian
1
,
Alden D Deran
1
,
Audrey Musselman-Brown
1
,
Hannes Schmidt
1
,
Peter Amstutz
4
,
Brian Craft
1
,
Mary Goldman
1
,
Kate Rosenbloom
1
,
Melissa Cline
1
,
Brian O'Connor
1
,
Megan Hanna
5
,
Chet Birger
5
,
W James Kent
1
,
David A Patterson
2
3
,
Anthony D Joseph
2
3
,
Jingchun Zhu
1
,
Sasha Zaranek
4
,
Gad Getz
5
,
David Haussler
1
,
Benedict Paten
1
Affiliations
1
Computational Genomics Lab, UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, California, USA.
2
AMP Lab, University of California Berkeley, Berkeley, California, USA.
3
UC Berkeley ASPIRE Lab, Berkeley, Berkeley, California, USA.
4
Curoverse, Somerville, Massachusetts, USA.
5
Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA.
PMID:
28398314
PMCID:
PMC5546205
DOI:
10.1038/nbt.3772
No abstract available
Publication types
Letter
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
MeSH terms
Biomedical Research / instrumentation*
Electronic Data Processing / methods*
Humans
Software*
Grants and funding
U41 HG002371/HG/NHGRI NIH HHS/United States
U24 CA180951/CA/NCI NIH HHS/United States
U24 CA210974/CA/NCI NIH HHS/United States
U24 CA143858/CA/NCI NIH HHS/United States
R44 GM119858/GM/NIGMS NIH HHS/United States
U54 HG007990/HG/NHGRI NIH HHS/United States