Life Sciences I
           
Event Type Start Time End Time Rm # Chair  

 

Masterworks 10:30AM 11:15AM 16-18 Tim Mattson (Intel Corporation)
 
Title:
Lessons from the Genomic Revolution, the Challenges for IT
  Speakers/Presenter:
Marshall Peterson (Chief Technology Officer, The J. Craig Venter Science Foundation)

 

Masterworks 11:15AM 12:00PM 16-18 Tim Mattson (Intel Corporation)
 
Title:
VR-applications for Mining Genomics Data
  Speakers/Presenter:
Anton Koning (SARA Computing and Networking Services)
             

 

     
  Session: Life Sciences I
  Title: Lessons from the Genomic Revolution, the Challenges for IT
  Chair: Tim Mattson (Intel Corporation)
  Time: Thursday, November 20, 10:30AM - 11:15AM
  Rm #: 16-18
  Speaker(s)/Author(s):  
  Marshall Peterson (Chief Technology Officer, The J. Craig Venter Science Foundation)
   
  Description:
  The sequencing and assembly of the human genome heralded a new era in which the leading-edge research in biology and medicine has moved from the wet lab into the data center. It is clear that computer science and bioinformatics will be key to revealing useful information from the genome. What are the lessons we learned from these first sequencing and assembly efforts? How applicable are they to the challenges facing us as the genomic revolution continues to unfold? Will a few facilities with large-scale, low-cost capacity play a role in traditional investigator-initiated research as well as in "big science" projects?
  Link: --
   

 

     
  Session: Life Sciences I
  Title: VR-applications for Mining Genomics Data
  Chair: Tim Mattson (Intel Corporation)
  Time: Thursday, November 20, 11:15AM - 12:00PM
  Rm #: 16-18
  Speaker(s)/Author(s):  
  Anton Koning (SARA Computing and Networking Services)
   
  Description:
  The amount of genome related data that is collected worldwide and the speed at which more information becomes available, pose a problem to the (bio)medical researcher: How to identify the proteins that are the most promising drug targets or find homologous genes that may cause side effects, and how to improve the decision-making process during drug development.

By integrating information from various databases -- eg. location of genes on chromosomes, association with diseases, (co)expression data -- the virtual reality application developed by SARA Computing and Networking Services in cooperation with Johnson & Johnson Pharmaceutical Research and Development offers pharmaceutical researchers a novel and better way to identify gene functionality and disease markers and thus discover new drug targets.

Three-dimensional trees and graphs show interrelations between proteins, while multi-species chromosome maps identify their homologs and metabolic pathways indicate the processes in which they play a role. Using an immersive virtual environment like the CAVE makes it possible to view and interpret much larger datasets than would be possible on ordinary computer displays.
  Link: --