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Appendix DJoint USDA-DOE Plant Genomics Knowledgebase Workshop Report, Jan. 8, 2010Joint USDA-DOE Plant Genomics Knowledgebase WorkshopReportSetting the Stage for the Plant Knowledgebase Workshop: BioinformaticsUse in Advancing Plant Genomics, Genetics, and BreedingAppendix DWorkshop ReportsFriday, January 8, 2010, 10:30 a.m. – 4:00 p.m.Plant and Animal Genome XVIIITown & Country HotelSan Diego, CaliforniaConvened by theU.S. Department of Energy (DOE)Office of ScienceOffice of Biological and Environmental ResearchU.S. Department of Agriculture (USDA)National Institute of Food and AgricultureWorkshop Organizers: Catherine Ronning (DOE), Susan Gregurick (DOE), Ed Kaleikau (USDA), GeraJochum (USDA), and Bob Cottingham (Oak Ridge National Laboratory)Audience: 100 plant scientists, geneticists, breeders, and bioinformatics specialistsSpeakers: Catherine Ronning (DOE Office of Biological and Environmental Research), Bob Cottingham(Oak Ridge National Laboratory), David Francis (Ohio State University), Steve Rounsley (University ofArizona), Eva Huala (The Arabidopsis Information Resource), Doreen Ware (Cold Spring HarborLaboratory), and Dan Rokhsar (DOE Joint Genome Institute)IntroductionThe Department of Energy (DOE) Genomic Science program supports systems biology researchto ultimately achieve a predictive understanding of microbial and plant systems for advancingDOE missions such as sustainably producing biofuels, investigating biological controls on carboncycling, and cleaning up contaminated environments. To manage and effectively use theexponentially increasing volume and diversity of data resulting from its projects, the GenomicScience program is developing the DOE Systems Biology Knowledgebase(genomicscience.energy.gov/compbio/).A DOE workshop held in May 2008 defined the vision for the Knowledgebase—an opencyberinfrastructure to integrate systems biology data, analytical software, and computationalmodeling tools that will drive two classes of work: (1) experimental design and (2) modeling andsimulation. This community-driven Knowledgebase will need to be understandable andaccessible to the entire research community and must have an intuitive design that facilitatessharing and contribution among all users. To provide computational capabilities that supportDOE systems biology research and other application areas, the Knowledgebase will need toserve multiple roles, including a flexible, adaptable repository of data and results from highthroughputexperiments; a collection of tools to derive new insights through data synthesis,analysis, and comparison; a framework to test scientific understanding; a heuristic capability toDOE Systems Biology Knowledgebase Implementation Plan • September 2010251

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