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Harnessing cloud computing with Galaxy Cloud

Nature Biotechnology volume 29, pages 972974 (2011) | Download Citation

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Acknowledgements

The authors are grateful to J. Beiler for coordinating sample collection, to clinical nurses from Penn State College of Medicine's Pediatric Clinical Research Office for collecting the samples and to volunteers for donating the samples. Efforts of the Galaxy Team (E.A., D.B., D. Blankenberg, N.C., J. Goecks, G. Von Kuster, R. Lazarus, K. Li & K. Vincent) were instrumental for making this work happen. This work was funded by US National Institutes of Health (NIH) grants HG005133 and HG005542 to J.T. and A.N., US National Science Foundation grant DBI 0543285 and NIH grant HG004909 to A.N. and J.T., and NIH grant GM07226405S2 to K.D.M. Additional funding is provided, in part, under a grant with the Pennsylvania Department of Health using Tobacco Settlement Funds. The Department specifically disclaims responsibility for any analyses, interpretations or conclusions.

Author information

Affiliations

  1. Departments of Biology and Mathematics & Computer Science, Emory University, Atlanta, Georgia, USA.

    • Enis Afgan
    • , Dannon Baker
    •  & James Taylor
  2. Center for Comparative Genomics and Bioinformatics, Penn State University, University Park, Pennsylvania, USA.

    • Nate Coraor
    • , Hiroki Goto
    • , Kateryna D Makova
    •  & Anton Nekrutenko
  3. Department of Pediatrics, Penn State College of Medicine, Hershey, Pennsylvania, USA.

    • Ian M Paul

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Competing interests

The authors declare no competing financial interests.

Corresponding authors

Correspondence to Kateryna D Makova or Anton Nekrutenko or James Taylor.

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    Supplementary Notes and Fig. 1

    Harnessing cloud-computing for biomedical research with Galaxy Cloud

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DOI

https://doi.org/10.1038/nbt.2028

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