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Nat Biotechnol. 2017 May 9;35(5):406-409. doi: 10.1038/nbt.3790.

Discovering and linking public omics data sets using the Omics Discovery Index.

Author information

1
European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, United Kingdom.
2
Institute of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing, China.
3
Beijing Proteome Research Center, National Center for Protein Sciences Beijing, Beijing, China.
4
Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA.
5
Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia.
6
Department of Computer Science and Engineering, University of California, San Diego, La Jolla, California, USA.
7
Commonwealth Scientific and Industrial Research Organization, Canberra, Australian Capital Territory, Australia.
8
Institute for Systems Biology, Seattle, Washington, USA.
9
Biochemistry &Medical Genetics, University of Manitoba, Winnipeg, Manitoba, Canada.
10
Department of Bioengineering, University of California, San Diego, La Jolla, California, USA.
11
Department of Medicine, University of Cambridge, Cambridge, United Kingdom.
12
ELIXIR Hub, Wellcome Genome Campus, Hinxton, United Kingdom.
13
Oxford e-Research Centre, University of Oxford, Oxford, United Kingdom.
14
Department of Physiology and Department of Medicine, Division of Cardiology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, California, USA.
15
Department of Medicine, Division of Cardiology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, California, USA.
PMID:
28486464
PMCID:
PMC5831141
DOI:
10.1038/nbt.3790
[Indexed for MEDLINE]
Free PMC Article

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