DOESciDAC ReviewOffice of Science
CLOSING NOTES
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.


Legend of Common Acronyms
SciDAC Scientific Discovery through Advanced Computing
DOE U.S. Department of Energy
NSF National Science Foundation
NASA National Aeronautics and Space Administration
PI Principal Investigator
HPC High-Performance Computing

National Laboratories
Argonne National Laboratory ANL http://www.anl.gov
Brookhaven National Laboratory BNL http://www.bnl.gov/world/
Los Alamos National Laboratory LANL http://www.lanl.gov/
Lawrence Berkeley National Laboratory LBNL http://www.lbl.gov/
Lawrence Livermore National Laboratory LLNL http://www.llnl.gov/
Oak Ridge National Laboratory ORNL http://www.ornl.gov/
Pacific Northwest National Laboratory PNNL http://www.pnl.gov/
Sandia National Laboratories SNL http://www.sandia.gov/