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X-WR-CALNAME:The Center for Science &amp; Society at Columbia University
X-ORIGINAL-URL:https://blogs.cuit.columbia.edu/scisoc
X-WR-CALDESC:Events for The Center for Science &amp; Society at Columbia University
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DTSTART:20160313T060000
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DTSTART:20161106T050000
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DTSTART;TZID=America/Halifax:20160520T120000
DTEND;TZID=America/Halifax:20160520T130000
DTSTAMP:20260604T053504
CREATED:20160511T181616Z
LAST-MODIFIED:20161222T213701Z
UID:2041-1463745600-1463749200@blogs.cuit.columbia.edu
SUMMARY:Rasmus Nielsen - Inferring the Past: A Big Data Challenge in Genomics
DESCRIPTION:Speaker: Dr. Rasmus Nielsen\, Professor\, Departments of Integrative Biology and Statistics and Director\, Center for Computational Biology\, University of California\, Berkeley \nAbout the Speaker: Rasmus Nielsen’s research focuses on statistical and computational aspects of evolutionary theory and genetics.  One of the central problems he has been interested in is the molecular basis of evolutionary adaptation.  What happens at the molecular levels as one species is transformed into another over evolutionary time? To address this question\, he has developed a number of computational methods and applied them to large scale genomic data\, such as genomic comparisons of humans and chimpanzees.  Rasmus Nielsen has also worked on statistical methods in other aspects of population genetics\, medical genetics\, phylogenetics\, molecular ecology\, and molecular evolution.  He has been teaching courses in Population Genetics\, Human Genetics\, Statistical Genomics\, Bioinformatics\, and Evolution. His students work on both applied and theoretical problems in population genetics\, statistical genetics and evolution. \nThis event is co-sponsored by the Department of Biology and the Department of Computer Science at Columbia University.
URL:https://blogs.cuit.columbia.edu/scisoc/cssevent/inferring-past-big-data-challenge-genomics/
LOCATION:Mudd Engineering Building Room #833\, Columbia University\, 500 West 120th St\, New York\, 10027\, United States
CATEGORIES:Columbia University Events
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