The NIH is interested in promoting research and developments in biomedical informatics and computational biology that will support rapid progress in areas of scientific opportunity in biomedical research. As defined here, biomedical informatics and computational biology includes database design, graphical interfaces, querying approaches, data retrieval, data visualization and manipulation, data integration through the development of integrated analytical tools, and tools for electronic collaboration, as well as computational and mathematical research including the development of structural, functional, integrative, and analytical computational models and simulations. Investigators may target one or multiple areas of biomedical computing that will enable progress in biomedical research. Examples of data types that could be considered include but are not limited to genomic sequences, gene expression, proteomics, pathway data, scientific and biomedical images, qualitative descriptors for health and social science, and remote sensing and geospatial images. Specific research areas solicited in informatics or computational science include but are not limited to research, development and application of: * Tools for data acquisition, archiving, querying, retrieval, visualization, integration and management. * Platform-independent translational tools for data exchange and for promoting interoperability. * Analytical and statistical tools for interpretation of large data sets. * New models or simulations of complex biological processes at single and multiple levels or across multiple scales (and the development of computational and/or mathematical tools for the analysis of these processes).
Standard Dates Apply (Expires September 2013)Share via these networks: