animal bioinformatics en.doc - European Commission · `Establish a strong bioinformatics research...
Transcript of animal bioinformatics en.doc - European Commission · `Establish a strong bioinformatics research...
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Animal Bioinformatics Workshop
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BackgroundWorkshop 2006 on future of livestock genomicsExplosion in data resulting from the rapid advances in genomics technology, increasing volume and complexity
PurposeIdentify needs for the tools of storage, manipulation, integration and interpretation, as well as accompanying measures (e.g. training)Analysis is the current bottlenecksSearch for avenues for further
international collaboration
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OpportunityEstablish a strong bioinformatics research community building resources to support agricultural/veterinary researchExtend our knowledge of farmed animals to illuminate the human (and model species) genomeIntegrate with other communities (model animal organisms, plant, microbial)Discuss twin/complementary/joint funding mechanisms for these activities
Farm Animal Bioinformatics
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Workshop was led by scientific co-chairs :
•Curt Van Tassell (USDA/ARS Beltsville), and James Reecy (Iowa State University)
and
•Martien Groenen (Wageningen University) and Alan Archibald (Roslin Institute)
30 participants, 15 EU, 12 US, 1 NZ and 2 EU Industry representatives
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Outcomes-Ideas-Needs
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Training/EducationNeed for training ran through all discussions
•Current limitations•We have data, not the people to work it
•Sustainability•Scientists/leaders of tomorrow
•Opportunity for International Collaboration•Attract people with international training opportunities
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Recognized need for computational biologists/bioinformaticists ◦ Need 30-40% of funds going to data handling◦ 1 in 3 or 1 in 4 hires in computational biology
for genomics projects
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Two Hats of Bioinformatics◦ Management for the masses
Refining/Using tools that already exist◦ Analysis/collaborative teams for the cutting edge
New ways to thinkVisualize information
Key Challenges◦ System interoperability◦ Heterogeneity of data◦ Data capture
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Plumbing analogy/electric grid◦ Pipes: Internet, Intranet◦ Reservoirs: Instruments, Public databases◦ Water towers: Internal databases◦ Filters and pumps: Software to transform dataLong term support for the databasesJoin forces of life sciences, human health, agricultureCan/will NCBI and EBI support non-model, non-human species information?
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Reference populationsReference sequencesReference phenotypes
Our discussions focused on how to use bioinformatics as driver of research instead of supporting genomics researchReflected make up of the workshop◦ Biologists and bioinformatists
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Working group to set priorities◦ Training opportunities◦ Workshops
Eg. Phenotyping, Manual annotation, Standardized data