'Omics Data Sharing

Autor: Philippe Rocca-Serra, Jacques E. Remacle, Amanda Collis, Susan K. Gregurick, Mary Maxon, Dawn Field, Nicola Perrin, Susanna-Assunta Sansone, Bela Tiwari, John Wilbanks, Eugene Kolker, Alexis-Michel Mugabushaka, Patrik Kolar, Siân Millard, Timothy F. Booth, Mark Thorley, Peter Dukes, Chris F. Taylor, Karen Kennedy, Karin A. Remington
Rok vydání: 2009
Předmět:
Zdroj: Science. 326:234-236
ISSN: 1095-9203
0036-8075
DOI: 10.1126/science.1180598
Popis: 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.
Databáze: OpenAIRE