Scalable Computational Methods for the Analysis of High-Throughput Biological Data [electronic resource].
- Washington, D.C. : United States. Dept. of Energy, 2012.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
- Physical Description:
- 11 pages : digital, PDF file
- Additional Creators:
- University of Tennessee, Knoxville
United States. Department of Energy
United States. Department of Energy. Office of Scientific and Technical Information
- This primary focus of this research project is elucidating genetic regulatory mechanisms that control an organismÃÂ¢ÃÂÃÂs responses to low-dose ionizing radiation. Although low doses (at most ten centigrays) are not lethal to humans, they elicit a highly complex physiological response, with the ultimate outcome in terms of risk to human health unknown. The tools of molecular biology and computational science will be harnessed to study coordinated changes in gene expression that orchestrate the mechanisms a cell uses to manage the radiation stimulus. High performance implementations of novel algorithms that exploit the principles of fixed-parameter tractability will be used to extract gene sets suggestive of co-regulation. Genomic mining will be performed to scrutinize, winnow and highlight the most promising gene sets for more detailed investigation. The overall goal is to increase our understanding of the health risks associated with exposures to low levels of radiation.
- Published through SciTech Connect.
Langston, Michael A.
- Funding Information:
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