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Discovering and linking public omics data sets using the Omics Discovery Index
- Publication Year :
- 2017
- Publisher :
- Nature Publishing Group, 2017.
-
Abstract
- This work has been supported by the US NIH BD2K grant U54 GM114833 and a National Natural Science Foundation of China grant (61501071). A.I.N. is supported by US National Institute of Health grant (R01-GM-094231). Y.P.-R. is supported by BBSRC ‘PROCESS’ grant (BB/K01997X/1). M.B. is supported by Projects of International Cooperation and Exchanges grant (2014DFB30010). M.W. is supported by an NIH grant (5P41GM103484-07). J.A.V. and N.d.-T. are supported by the Wellcome Trust (grant WT101477MA). T.T. is supported by the BBSRC ‘ProteoGenomics’ grant (BB/L024225/1). E.W.D. and D.S.C. are supported in part by grant (U24 AI117966- 02S1). S.-A.S. is supported in part by US NIH BD2K grant (1U24AI117966-01). M.W. and N.Bandeira were supported by NIH grant (5P41GM103484-07). N.Bandeira was also partially supported as an Alfred P. Sloan Fellow. S.Subramaniam is supported by NIH grants U01 DK097430 and U01 CA198941
- Subjects :
- Proteomics
0301 basic medicine
Extramural
Biomedical Engineering
Computational Biology
Information Storage and Retrieval
Library science
Bioengineering
Genomics
Applied Microbiology and Biotechnology
Article
Omics data
03 medical and health sciences
030104 developmental biology
Political science
Data Mining
Humans
Molecular Medicine
Biotechnology
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....7813790a0afed0a884cfbeef4e291b18