Toil enables reproducible, open source, big biomedical data analyses

John Vivian, Arjun Arkal Rao, Frank Austin Nothaft, Christopher Ketchum, Joel Armstrong, Adam Novak, Jacob Pfeil, Jake Narkizian, Alden D Deran, Audrey Musselman-Brown, Hannes Schmidt, Peter Amstutz, Brian Craft, Mary Goldman, Kate Rosenbloom, Melissa Cline, Brian O'Connor, Megan Hanna, Chet Birger, W James Kent, David A Patterson, Anthony D Joseph, Jingchun Zhu, Sasha Zaranek, Gad Getz, David Haussler, Benedict Paten

Open source

DOI: 10.1038/nbt.3772
Published: 2017-04
Container: Nature Biotechnology
Publisher: Springer Science and Business Media LLC
Open access: unknown

Credibility signals

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Cite this work

BibTeX

@article{allodium:10.1038/nbt.3772,
  title = {Toil enables reproducible, open source, big biomedical data analyses},
  author = {John Vivian and Arjun Arkal Rao and Frank Austin Nothaft and Christopher Ketchum and Joel Armstrong and Adam Novak and Jacob Pfeil and Jake Narkizian and Alden D Deran and Audrey Musselman-Brown and Hannes Schmidt and Peter Amstutz and Brian Craft and Mary Goldman and Kate Rosenbloom and Melissa Cline and Brian O'Connor and Megan Hanna and Chet Birger and W James Kent and David A Patterson and Anthony D Joseph and Jingchun Zhu and Sasha Zaranek and Gad Getz and David Haussler and Benedict Paten},
  year = {2017},
  journal = {Nature Biotechnology},
  doi = {10.1038/nbt.3772},
  url = {https://doi.org/10.1038/nbt.3772}
}

RIS

TY  - JOUR
TI  - Toil enables reproducible, open source, big biomedical data analyses
AU  - John Vivian
AU  - Arjun Arkal Rao
AU  - Frank Austin Nothaft
AU  - Christopher Ketchum
AU  - Joel Armstrong
AU  - Adam Novak
AU  - Jacob Pfeil
AU  - Jake Narkizian
AU  - Alden D Deran
AU  - Audrey Musselman-Brown
AU  - Hannes Schmidt
AU  - Peter Amstutz
AU  - Brian Craft
AU  - Mary Goldman
AU  - Kate Rosenbloom
AU  - Melissa Cline
AU  - Brian O'Connor
AU  - Megan Hanna
AU  - Chet Birger
AU  - W James Kent
AU  - David A Patterson
AU  - Anthony D Joseph
AU  - Jingchun Zhu
AU  - Sasha Zaranek
AU  - Gad Getz
AU  - David Haussler
AU  - Benedict Paten
PY  - 2017
JO  - Nature Biotechnology
DO  - 10.1038/nbt.3772
UR  - https://doi.org/10.1038/nbt.3772
ER  -

APA

Vivian, J., Rao, A. A., Nothaft, F. A., Ketchum, C., Armstrong, J., Novak, A., Pfeil, J., Narkizian, J., Deran, A. D., Musselman-Brown, A., Schmidt, H., Amstutz, P., Craft, B., Goldman, M., Rosenbloom, K., Cline, M., O'Connor, B., Hanna, M., Birger, C., Kent, W. J., Patterson, D. A., Joseph, A. D., Zhu, J., Zaranek, S., Getz, G., Haussler, D., & Paten, B. (2017). Toil enables reproducible, open source, big biomedical data analyses. Nature Biotechnology. https://doi.org/10.1038/nbt.3772

Source records

crossref · retrieved 2026-09-26T17:30:10.261Z