Exploratory Innovations in Biomedical Computational Science and Technology (R21)
| Program Title | Exploratory Innovations in Biomedical Computational Science and Technology (R21) |
|---|---|
| Funding Agency | NIH |
| Website | http://grants.nih.gov/grants/guide/pa-files/PAR-09-219.html |
| Due Date | Oct 16, 2009 12:00 AM |
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.
This particular FOA is intended to support exploratory biomedical informatics and computational biology research—applications should be innovative, with high risk/high impact in new areas that are lacking preliminary data or development. Applications for R21 awards should describe projects distinct from those supported through the traditional R01 mechanism. In the latter case, investigators should consult the parallel announcement PAR-09-218 “Innovations in Biomedical Computing Science and Technology (R01)”. For example, long-term projects or projects designed to increase knowledge in a well-established area will not be considered for R21 awards.
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).
