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Inferring genotype-phenotype relationships from (meta-)genomes

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If you have a question about this talk, please contact Mustapha Amrani.

Mathematical, Statistical and Computational Aspects of the New Science of Metagenomics

Co-authors: Aaron Weimann (Heinrich Heine University Dsseldorf), Sebastian Konietzny (Heinrich Heine University Dsseldorf), Ivan Gregor (Heinrich Heine University Dsseldorf), Johannes Droege (Heinrich Heine University Dsseldorf), 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.

This talk is part of the Isaac Newton Institute Seminar Series series.

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