Biomedical computing Michael Welge, Ian Brooks, Victor Jongeneel • Biomedicine identified as being of high importance to NCSA, but definition of strategic plan still in early stages • Expect to have a fully formed strategy by end 2010 • Overall process for developing a plan: • Understand the strengths of NCSA and be prepared to capitalize on them; identify weakness that need to be addressed • Define the overall areas of opportunity for high- performance computing in the biomedical area • Identify strategic partnerships on- and off-campus, with the potential to initiate projects congruent with the above • Engage in substantive discussions with partners and define the scope of common projects NCSA Strategic Planning Presentation (April 20,2010)
11
Embed
Biomedical computing Michael Welge, Ian Brooks, Victor Jongeneel
Biomedical computing Michael Welge, Ian Brooks, Victor Jongeneel. Biomedicine identified as being of high importance to NCSA, but definition of strategic plan still in early stages Expect to have a fully formed strategy by end 2010 Overall process for developing a plan: - PowerPoint PPT Presentation
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Biomedical computingMichael Welge, Ian Brooks, Victor Jongeneel
• Biomedicine identified as being of high importance to NCSA, but definition of strategic plan still in early stages• Expect to have a fully formed strategy by end 2010
• Overall process for developing a plan:• Understand the strengths of NCSA and be prepared to capitalize
on them; identify weakness that need to be addressed• Define the overall areas of opportunity for high-performance
computing in the biomedical area• Identify strategic partnerships on- and off-campus, with the
potential to initiate projects congruent with the above• Engage in substantive discussions with partners and define the
Defining areas of opportunity(from 2006 NSF workshop)
• Biomolecular Structure Modeling (for example extending classical Molecular Dynamics calculations to account for quantum mechanical effects, multidimensional free energy surfaces, transition state ensembles)
• Modeling Complex Biological Systems (for example developing models of cell and organ function)
• Genomics (for example search calculations mapping phylogeny to ontogeny)
• Customized Patient Care (for example computing drug interactions in the context of individual physiology and blood chemistry)
• Ecological component of earth system modeling (for example adding plant cover to climate models)
• Infectious disease modeling (for example modeling of disease spreading and the likely impact of containment strategies)