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Circ Res. 2015 Mar 27;116(7):1115-9. doi: 10.1161/CIRCRESAHA.115.306013.

Harnessing the heart of big data.

Author information

1
From the Departments of Physiology, Medicine, and Bioinformatics (S.B.S., P.P.) and Department of Medicine (K.W.), University of California, Los Angeles School of Medicine; Department of Molecular and Experimental Medicine (A.I.S.) and Departments of Chemical Physiology and Molecular and Cellular Neurobiology (J.R.Y.), The Scripps Research Institute, La Jolla, CA; Proteomics Services, European Molecular Biology Laboratories, European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom (H.H.); and Departments of Physiology and Medicine, University of Mississippi Medical Center, Jackson (M.L.L.).
2
From the Departments of Physiology, Medicine, and Bioinformatics (S.B.S., P.P.) and Department of Medicine (K.W.), University of California, Los Angeles School of Medicine; Department of Molecular and Experimental Medicine (A.I.S.) and Departments of Chemical Physiology and Molecular and Cellular Neurobiology (J.R.Y.), The Scripps Research Institute, La Jolla, CA; Proteomics Services, European Molecular Biology Laboratories, European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom (H.H.); and Departments of Physiology and Medicine, University of Mississippi Medical Center, Jackson (M.L.L.). peipeiping@earthlink.net.

KEYWORDS:

crowdsourcing; database; heart diseases; information storage and retrieval; metabolomics; proteomics; user-computer interface

PMID:
25814682
PMCID:
PMC4721634
DOI:
10.1161/CIRCRESAHA.115.306013
[Indexed for MEDLINE]
Free PMC Article

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