Cloud computing and the DNA data race (original) (raw)

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Nature Biotechnology volume 28, pages 691–693 (2010)Cite this article

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Given the accumulation of DNA sequence data sets at ever-faster rates, what are the key factors you should consider when using distributed and multicore computing systems for analysis?

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Figure 1: Map-shuffle-scan framework used by Crossbow.

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Acknowledgements

The authors were supported in part by US National Science Foundation grant IIS-0844494 and by US National Institutes of Health grant R01-LM006845.

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Authors and Affiliations

1. Michael C. Schatz and Steven L. Salzberg are at the Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, USA.,
   Michael C Schatz & Steven L Salzberg
2. Ben Langmead is at the Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,
   Ben Langmead

Authors

1. Michael C Schatz
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2. Ben Langmead
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3. Steven L Salzberg
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Corresponding author

Correspondence toMichael C Schatz.

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The authors declare no competing financial interests.

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Schatz, M., Langmead, B. & Salzberg, S. Cloud computing and the DNA data race.Nat Biotechnol 28, 691–693 (2010). https://doi.org/10.1038/nbt0710-691

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• Issue Date: July 2010
• DOI: https://doi.org/10.1038/nbt0710-691

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