DELSA Global for “Big Data” and the Bioeconomy: Catalyzing Collective Innovation
2012; Mary Ann Liebert, Inc.; Volume: 8; Issue: 4 Linguagem: Inglês
10.1089/ind.2012.1528
ISSN1931-8421
AutoresEugene Kolker, Elizabeth Stewart, Vural Özdemir,
Tópico(s)Health and Medical Research Impacts
ResumoIndustrial BiotechnologyVol. 8, No. 4 Catalyzing InnovationDELSA Global for "Big Data" and the Bioeconomy: Catalyzing Collective InnovationEugene Kolker, Elizabeth Stewart, and Vural ÖzdemirEugene KolkerBioinformatics & High-Throughput Analysis Lab and High-Throughput Analysis Core, Seattle Children's Research Institute, University of Washington School of Medicine, Seattle, WAPredictive Analytics, Seattle Children's Hospital, University of Washington School of Medicine, Seattle, WADepartments of Biomedical Informatics & Medical Education and Pediatrics, University of Washington School of Medicine, Seattle, WAData-Enabled Life Sciences Alliance International (DELSA Global), Seattle, WASearch for more papers by this author, Elizabeth StewartBioinformatics & High-Throughput Analysis Lab and High-Throughput Analysis Core, Seattle Children's Research Institute, University of Washington School of Medicine, Seattle, WAData-Enabled Life Sciences Alliance International (DELSA Global), Seattle, WASearch for more papers by this author, and Vural ÖzdemirData-Enabled Life Sciences Alliance International (DELSA Global), Seattle, WAGroup on Complex Collaboration, Faculty of Management, McGill University, Montreal, CanadaCentre of Genomics and Policy, Department of Human Genetics, Faculty of Medicine, McGill University, Montreal, CanadaSearch for more papers by this authorPublished Online:16 Aug 2012https://doi.org/10.1089/ind.2012.1528AboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View articleFiguresReferencesRelatedDetailsCited byHow 'big data' can make big impact: Findings from a systematic review and a longitudinal case studyInternational Journal of Production Economics, Vol. 165Optimizing high performance computing workflow for protein functional annotation24 April 2014 | Concurrency and Computation: Practice and Experience, Vol. 26, No. 13MOPED 2.5—An Integrated Multi-Omics Resource: Multi-Omics Profiling Expression Database Now Includes Transcriptomics Data Elizabeth Montague, Larissa Stanberry, Roger Higdon, Imre Janko, Elaine Lee, Nathaniel Anderson, John Choiniere, Elizabeth Stewart, Gregory Yandl, William Broomall, Natali Kolker, and Eugene Kolker9 June 2014 | OMICS: A Journal of Integrative Biology, Vol. 18, No. 6The Chromosome-centric Human Proteome Project at FEBS Congress25 January 2014 | PROTEOMICS, Vol. 14, No. 2-3MOPED Enables Discoveries through Consistently Processed Proteomics Data18 December 2013 | Journal of Proteome Research, Vol. 13, No. 1Toward More Transparent and Reproducible Omics Studies Through a Common Metadata Checklist and Data Publications Eugene Kolker, Vural Özdemir, Lennart Martens, William Hancock, Gordon Anderson, Nathaniel Anderson, Sukru Aynacioglu, Ancha Baranova, Shawn R. 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