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SUMMARY:Inferring genotype-phenotype relationships from (meta-)genomes - M
 cHardy\, AC (Heinrich Heine University Dsseldorf)
DTSTART:20140327T093000Z
DTEND:20140327T103000Z
UID:TALK51656@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:Co-authors: Aaron Weimann (Heinrich Heine University Dsseldorf
 )\, Sebastian Konietzny (Heinrich Heine University Dsseldorf)\, Ivan Grego
 r (Heinrich Heine University Dsseldorf)\, Johannes Droege (Heinrich Heine 
 University Dsseldorf)\, Phil B. Pope (Norwegia University of Life Sciences
 ) \n\nNext generation sequencing allows to extensively survey the genome-w
 ide genetic diversity of microbial communities\, as well as populations fr
 om all domains of life. A major challenge is the development of computatio
 nal methods for hypothesis generation and basic computational analysis of 
 these large-scale data sets. I will present our recent work on computation
 al methods for metagenome analysis. We are working on methods for predicti
 ng and characterizing microbial phenotypes as well as identifying the rele
 vant protein repertoire for a given phenotype\, focusing hereby on microbi
 al plant biomass degradation.\n
LOCATION:Seminar Room 1\, Newton Institute
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