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News & Announcements
  • The technical program of the 4th Ultrascale Visualization Workshop at SC09 is now available: http://vis.cs.ucdavis.edu/Ultravis09
  • Professor Ma gave an invited talk at the Pacific Graphics 2009 Conference.
  • Professor Kwan-Liu Ma gave an invited talk at the 10th International Computational Accelerator Physics Conference (ICAP 2009).
  • Ultravis Institute researchers along with combustion simulation scientists at the Sandia National Laboratory has successfully demonstrated in situ visualization at the petascale using up to 6480 processors of the Cray XT5 at NCCS/ORNL.
  • John Owens is Program Chair of "High Performance Graphics", August 2009.
  • Kwan-Liu Ma is Paper Chair of IEEE Visualization 2009 Conference.
  • John Owens is giving the keynote talk, "GPU Computing: Heterogeneous Computing for Future Systems", International Heterogeneity in Computing Workshop, Rome, May 18th.
  • PacificVis 2009 was held April 20-23 in Beijing, China. Members of the Ultravis Institute are playing leading roles in this conference.
 
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Research Highlights
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? Answers to these questions bear groundbreaking significances but are hard to obtain. Although the starting point of such research are experiemental data, it is imperative to combine expertise from large scale computing, statistics and visualization to study this subject effectively and comprehensively.

The specific research problem we address here focuses on pull-down technology for mapping protein-protein interactions, a key step for revealing a complex network of biological processes in the cell. While this technology can identify protein complexes, it is vulnerable to generating false positive interactions, and the pressing need to address such false positives presents a great challenge to the entire community.

ORNL researchers, led by Dr. Nagiza Samatova, have discovered that experimental data obtained by large-scale pull-down studies can produce more comprehensive biological information and fewer false positive interactions if they are interpreted in terms of a more general common-target model... Read more

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