Grand Challenges in Computational Biology - Project web sites - Inria
Grand Challenges in Computational Biology - Project web sites - Inria
Grand Challenges in Computational Biology - Project web sites - Inria
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Phylogenomic tools for <strong>in</strong>vestigat<strong>in</strong>g and<strong>in</strong>terpret<strong>in</strong>g (meta)genome datasets(DOE Systems <strong>Biology</strong> Knowledgebase grant)<strong>Challenges</strong> <strong>in</strong> metagenome data analysis:• Most tools designed for these data answer only What species are present? and do notanswer the question, Whats go<strong>in</strong>g on? (what processes & pathways are represented)• Sequences are fragmentary and noisy, present<strong>in</strong>g additional challenges to bio<strong>in</strong>formaticsmethods• Huge datasets (<strong>in</strong> the millions of reads)Harness<strong>in</strong>g the power of the human microbiome, Blaser, PNAS 2010The New Science of Metagenomics: Reveal<strong>in</strong>g the Secrets of Our Microbial Planet Committee on Metagenomics: <strong>Challenges</strong>and Functional Applications, National Research Council. 2007.