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SUMMARY:Genomic challenges and computational answers in evolutionary biolo
 gy
DTSTART;VALUE=DATE-TIME:20120507T120000Z
DTEND;VALUE=DATE-TIME:20120507T130000Z
DTSTAMP;VALUE=DATE-TIME:20130524T102309Z
UID:indico-event-189819@cern.ch
DESCRIPTION:Genomic data is accumulating exponentially. This presents both
  a major challenge\, to make sense of these data\, and a major opportunity
 \, to learn more about biology.\nEvolutionary biology plays a key role in 
 this endeavor\, because of the traditional importance of comparative appro
 aches. By comparing many genomes\, we can learn more about each genome\, a
 s well as about broad evolutionary patterns at the genomic level. Scaling 
 up this approach presents computational challenges from ontology usage to 
 distributed computing. I will focus on the detection of Darwinian selectio
 n\, and on the role of gene duplication.\n\nhttp://indico.cern.ch/conferen
 ceDisplay.py?confId=189819
LOCATION:EPFL Cubotron 727
URL:http://indico.cern.ch/conferenceDisplay.py?confId=189819
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