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Division of Biomedical Technology, Bioinformatics, and Computational Biology

Description:

New or improved instruments, devices, and related methodologies to facilitate biomedical or behavioral research. Instrumentation includes, but is not limited to mass spectrometry, nuclear magnetic resonance, optical or laser spectroscopies, X-ray absorption/diffraction/scattering, detectors, electron or confocal microscopies, electrophoresis and other separation techniques, bioreactors, centrifugation, and flow cytometry. New or innovative tools and methods in bioinformatics and computational biology, including social sciences/social, population, and behavioral modeling research.

A.     Bioinformatics and Computational Biology: Development of information and communication technology for computer and other mathematical sciences in support of biomedical or behavioral research, including:

1.            Development of tools and methods to model complex biological systems.

2.            Development of tools and methods for behavioral and social modeling.

3.            Development and enhancement of databases and data formats for activities.

4.            Development of tools and methods for scientific visualization, data mining, and integration and interoperability of different databases and varying modalities of data.

5.            Design and development of software and hardware for improving the effectiveness of computational approaches in biomedical research.

6.           Development of computational biology software packages for integrative analysis of genomics data, especially ones relevant to applications of new sequencing technologies. The proposed work should apply best practices and proven methods for software design, construction, and implementation to promote adoption by a broad biomedical research community.

B.     Technology for Systems Biology: Development of novel technologies for proteomics, glycomics, metabolomics, and other aspects of systems biology for discovery and clinical applications, (e.g., sample handling, separations, mass spectrometry, and computational tools for protein identification, data curation and mining).

C.     Technology for Structural Biology: Development of detectors and cameras for studying the structures of biomolecules in the size range of peptides to cells, using synchrotron radiation and multiple types of microscopy.

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