'Omics data sharing

Field, Dawn; Sansone, Susanna-Assunta; Collis, Amanda; Booth, Tim; Dukes, Peter; Gregurick, Susan K.; Kennedy, Karen; Kolar, Patrik; Kolker, Eugene; Maxon, Mary; Millard, Sian; Mugabushaka, Alexis-Michel; Perrin, Nicola; Remacle, Jacques E.; Remington, Karin; Rocca-Serra, Philippe; Taylor, Chris F.; Thorley, Mark; Tiwari, Bela; Wilbanks, John. 2009 'Omics data sharing. Science, 326 (5950). 234-236.

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Development of high-throughput genomic and postgenomic technologies has caused a change in approaches to data handling and processing (1). One biological sample might be used to generate many kinds of “big” data in parallel, such as genome sequence (genomics), patterns of gene and protein expression (transcriptomics and proteomics), and metabolite concentrations and fluxes (metabolomics). Extensive computer manipulations are required for even basic analyses of such data; the challenges mount further when two or more studies' outputs must be compared or integrated.

Item Type: Publication - Article
Digital Object Identifier (DOI):
Programmes: CEH Topics & Objectives 2009 - 2012 > Biodiversity
CEH Sections/Science Areas: Hails
ISSN: 0036-8075
NORA Subject Terms: Ecology and Environment
Biology and Microbiology
Date made live: 06 Mar 2013 14:08 +0 (UTC)

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