Data standards can boost metabolomics research, and if there is a will, there is a way

Metabolomics

Volumn 12, Issue 1, 2016, Pages 1-13

  Rocca Serra, Philippe ^a   Salek, Reza M ^b   Arita, Masanori ^c,d   Correa, Elon ^e   Dayalan, Saravanan ^f   Gonzalez Beltran, Alejandra ^a   Ebbels, Tim ^g   Goodacre, Royston ^e   Hastings, Janna ^b   Haug, Kenneth ^b   Koulman, Albert ^h   Nikolski, Macha ⁱ   Oresic, Matej ^j   Sansone, Susanna Assunta ^a   Schober, Daniel ^k   Smith, James ^h,m   Steinbeck, Christoph ^b   Viant, Mark R ^l   Neumann, Steffen ^k  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b EUROPEAN BIOINFORMATICS INSTITUTE   (United Kingdom)

^c NATIONAL INSTITUTE OF GENETICS   (Japan)

^d RIKEN Center for Sustainable Resource Science   (Japan)

^e UNIVERSITY OF MANCHESTER   (United Kingdom)

^f UNIVERSITY OF MELBOURNE   (Australia)

^g IMPERIAL COLLEGE LONDON   (United Kingdom)

^h MRC HUMAN NUTRITION RESEARCH   (United Kingdom)

ⁱ UNIVERSITÉ DE BORDEAUX   (France)

^j STENO DIABETES CENTER   (Denmark)

^k LEIBNIZ INSTITUTE OF PLANT BIOCHEMISTRY   (Germany)

^l UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^m UNIVERSITY OF CAMBRIDGE   (United Kingdom)

more..

Author keywords

Data sharing; Data standards; Experimental metadata; Mass spectrometry; Metabolomics; NMR

Indexed keywords

BIOMEDICINE; COMPUTER INTERFACE; EXPERIMENT; INFORMATION PROCESSING; MASS SPECTROMETRY; MEDICAL RESEARCH; METABOLOMICS; QUALITY CONTROL; REVIEW; SCIENTIST; STATISTICAL ANALYSIS; STUDY DESIGN;

EID: 84947561473     PISSN: 15733882     EISSN: 15733890     Source Type: Journal    
DOI: 10.1007/s11306-015-0879-3     Document Type: Review

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