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The anatomy of successful computational biology software

Nature Biotechnology volume 31, pages 894–897 (2013)Cite this article

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An Erratum to this article was published on 09 June 2014

This article has been updated

Creators of software widely used in computational biology discuss the factors that contributed to their success

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Change history

  • 09 May 2014

    In the version of this article initially published, in Table 1, Steven Salzberg should have been listed as the second, and not the last, of the creators of the Cufflinks software. The error has been corrected in the HTML and PDF versions of the article.

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Authors and Affiliations

  1. National Center for Biotechnology Information, Bethesda, Maryland

    Stephen Altschul

  2. University of California San Diego, La Jolla, California

    Barry Demchak

  3. Wellcome Trust Sanger Institute, Hinxton, UK

    Richard Durbin

  4. Genentech, South San Francisco, California

    Robert Gentleman

  5. British Columbia Cancer Research Centre, Vancouver, Canada

    Martin Krzywinski

  6. Broad Institute, Cambridge, Massachusetts

    Heng Li & James Robinson

  7. Penn State University, University Park, Pennsylvania

    Anton Nekrutenko

  8. National Institute of Mental Health, Bethesda, Maryland

    Wayne Rasband

  9. Emory University, Atlanta, Georgia

    James Taylor

  10. Harvard University, Cambridge, Massachusetts

    Cole Trapnell

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  1. Stephen Altschul
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  4. Robert Gentleman
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Altschul, S., Demchak, B., Durbin, R. et al. The anatomy of successful computational biology software. Nat Biotechnol 31, 894–897 (2013). https://doi.org/10.1038/nbt.2721

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