| Preview: Data-Intensive, Data-Driven Computing for Complex Biological Systems |
Exciting scientific breakthroughs from the BioPilot project, funded by the DOE Office of Advanced Scientific Computing, will be featured in an upcoming issue of SciDAC Review. BioPilot scientists are working towards novel capabilities for predictive understanding of complex biological systems through advanced data-intensive and data-driven computing. The researchers address science questions of critical importance to bioenergy and bioremediation. For example, what cellular mechanisms underlie the organismal tolerance to a variety of stresses that yeast is exposed to during its bioethanol production of thermochemically pretreated plant material in industrial production? How can this tolerance be enhanced? The images above depict the whole cellular machinery involved in stress-induced transcriptional reprogramming of the yeast cells, discovered by a graph-theoretical computational framework developed at ORNL. Advanced capabilities for large-scale visualization and
browsing of biological networks are provided by Dr. Jian Huang and Joshua New from the SciDAC Ultrascale Visualization Institute.
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Legend of Common Acronyms |
| SciDAC |
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Scientific Discovery through Advanced Computing |
| DOE |
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U.S. Department of Energy |
| NSF |
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National Science Foundation |
| NASA |
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National Aeronautics and Space Administration |
| PI |
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Principal Investigator |
| HPC |
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High-Performance Computing |
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| National Laboratories |
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