Inferring genotype-phenotype relationships from (meta-)genomes
Update: 2014-06-02
Description
Co-authors: Aaron Weimann (Heinrich Heine University Düsseldorf), Sebastian Konietzny (Heinrich Heine University Düsseldorf), Ivan Gregor (Heinrich Heine University Düsseldorf), Johannes Droege (Heinrich Heine University Düsseldorf), Phil B. Pope (Norwegia University of Life Sciences)
Next generation sequencing allows to extensively survey the genome-wide genetic diversity of microbial communities, as well as populations from all domains of life. A major challenge is the development of computational methods for hypothesis generation and basic computational analysis of these large-scale data sets. I will present our recent work on computational methods for metagenome analysis. We are working on methods for predicting and characterizing microbial phenotypes as well as identifying the relevant protein repertoire for a given phenotype, focusing hereby on microbial plant biomass degradation.
Next generation sequencing allows to extensively survey the genome-wide genetic diversity of microbial communities, as well as populations from all domains of life. A major challenge is the development of computational methods for hypothesis generation and basic computational analysis of these large-scale data sets. I will present our recent work on computational methods for metagenome analysis. We are working on methods for predicting and characterizing microbial phenotypes as well as identifying the relevant protein repertoire for a given phenotype, focusing hereby on microbial plant biomass degradation.
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