Biomedical Computation at NIH Michael Marron National Center for Research Resources National Institutes of Health
Current NIH Activities International networks for biomedical data & software sharing: caBIG (NIH/NCI), BIRN (NIH/NCRR) National Health Information Network support w/ HHS/ONCHIT NIH Roadmap National Centers for Biomedical Computing (NCBCs) Cancer Imaging and Computational Centers Modeling of Infectious Disease (MIDAS) Bioinformatics Resource Centers for Emerging and Re-emerging Infectious Disease Proteomics and Protein Structure Initiatives P41 Computational Centers – eleven exist, on tools & cyberinfrastructure National Library of Medicine information & analysis servers Many Investigator Research Grants contain supercomputing support Interdisciplinary Centers [more]
fMRI Clinical Query Integrated View Receptor Density Web Other Databases Structure Clinical Mediator BIRN Network Infrastructure that facilitates distributed collaborations in biomedical science Sharing data and tools: data grid and computational grid Initial focus in brain imaging of neurological disorders (human and mice) 31 Universities, 39 Research Groups, connected through Internet2
Physics-based Simulation of Biological Structures (SIMBIOS) PI: Russ Altman, MD, PhD PI Institution: Stanford University This Center will develop, disseminate, and support a simulation tool kit (SimTK) that will enable biomedical scientists to develop and share accurate models and simulations of biological structures from atoms to organisms. SimTK will be an open-source, extensible, object-oriented framework for manipulating data, models, and simulations. The software will include advanced capabilities for modeling the geometry and physics of biological systems, generating the governing differential equations of these systems, integrating the equations to simulate the system dynamics, and interpreting the simulation results through comparison with experimental data.
Informatics for Integrating Biology and the Bedside (I2B2) PI: Isaac Kohane, MD, PhD PI Institution: Brigham and Women's Hospital The I2B2 Center is developing a scalable informatics framework that will bridge clinical research data and the vast data banks arising from basic science research in order to better understand the genetic bases of complex diseases. This knowledge will facilitate the design of targeted therapies for individual patients with diseases having genetic origins.
National Alliance for Medical Imaging Computing (NAMIC) PI: Ron Kikinis, MD PI Institution: Brigham and Women's Hospital NAMIC’s goal is to develop, integrate, and deploy computational image analysis systems that are applicable to multiple diseases, in different organs. To provide focus for these efforts, a set of key problems in schizophrenia research has been selected as the initial Driving Biological Projects (DBPs).
The CCB develops, implements, and tests computational biology methods that are applicable across spatial scales and biological systems. The Center focuses on the brain, specifically on neuroimaging, and involves research in mathematics, computational methods and informatics. It also is involved in the development of a new form of software infrastructure – the computational atlas – to manage multidimensional data spanning many scales and modalities. Center for Computational Biology (CCB) PI: Arthur Toga, PhD PI Institution: University of California at Los Angeles
NCIBI develops and interactively integrates analytical and modeling technologies to acquire or create context-appropriate molecular biology information from emerging experimental data, international genomic databases, and the published literature. The NCIBI supports information access and data analysis workflow of collaborating biomedical researchers, enabling them to build computational and knowledge models of biological systems validated through focused work on specific diseases. PI: Brian Athey, PhD Pi Institution: University of Michigan
PI: Andrea Califano, PhD PI Institution: Columbia University Construct an environment for comprehensive mapping and analysis of molecular cellular interactions Evidence integration framework to collect and fuse diverse cellular interaction clues based on statistical relevance Comprehensive set of physics- and knowledge-based methodologies to fill framework Methodologies and filters, anchored in formal domain ontologies, to associate specific interactions to an organisms, tissue, molecular, and cellular context
A consortium of biologists, clinicians, informaticians, and ontologists who develop innovative technology and methods that allow scientists to create, disseminate, and manage biomedical information and knowledge in machine- processable form. PI: Mark A. Musen, MD, PhD PI Institution: Stanford University Open Biomedical Ontologies (OBO) Open Biomedic al Data (OBD) BioPor tal Capture and index experimental results Revise biomedical understanding Relate experimental data to results from other sources
PI: Peter Arzberger
PI: Charles Brooks
PI: Robert Elston
PI: Tom Ferrin
PI: Ary Goldberger
PI: Chris Johnson
PI: Klaus Schulten
PI: Les Loew
PI: Ralph Roskies
/pages/projects/grants/nac /pages/projects/grants/nac PI: Ron Kikinis
PI: Arthur Toga
Carolina Center for Exploratory Genetic Analysis URL: PI: Dan Reed
Computation Center for Biomolecular Complexes URL:
Funding Opportunities General Funding Information: Collaborations with National Centers for Biomedical Computing - PAR Mechanism: R01 Receipt Dates: Jan 17 and May 17, 2006 Continued Development and Maintenance of Bioinformatics and Computational Biology Software - PAR Mechanism: R01, Supplements Receipt Date: May 17, 2006 Innovations in Biomedical Computation Science and Technology - PAR Mechanisms: R21/R33, R01 Receipt Date: Feb 26, 2006 NLM Research Grants in Biomedical Informatics and Bioinformatics - PA Mechanism: R01 Receipt Dates: Feb 1 and Jun 1, 2006 Shared Instrumentation Grant program - PAR Mechanism: S10 Receipt Date: Mar 22, 2006 (electronic!) Mentored Quantitative Research Development Award - PA Mechanism: K25 Receipt Dates: Feb 1 and Jun 1, 2006 Innovations in Biomedical Computational Science and Technology: SBIR/STTR Initiative - PAR & PAR Mechanisms: R41/2/3/4 Receipt Date: Feb 26, 2006 (electronic!) Integration of Heterogeneous Data Sources - PA & PA Mechanisms: R41/2/3/4 Receipt Date: Apr (electronic!)
More on Funding Opportunities Advanced Proteomic Platforms and Computational Sciences for the NCI Clinical Proteomic Technologies Initiative - RFA-CA Mechanisms: R01, R21, R21/R33 Receipt Date: Apr 11, 2006 Structural Genomics Knowledgebase - RFA-GM Mechanism: U01 Receipt Date: Feb 23, 2006 Training in Computational Neuroscience: From Biology to Model and Back Again - RFA-DA Mechanism: T90 Receipt Date: Mar 13, 2006 NIH Support for Conferences and Scientific Meetings - PA Mechanisms: R13/U13 Receipt Dates: Apr 15, 2006 (electronic!) Search all funding opportunities: Electronic Submission Information: Mac Support: Training: Electronic Submission: