Grand Challenges in Computational Biology - Project web sites - Inria

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Phylogenomic tools for investigating andinterpreting (meta)genome datasets(DOE Systems Biology Knowledgebase grant)Challenges in metagenome data analysis:• Most tools designed for these data answer only What species are present? and do notanswer the question, Whats going on? (what processes & pathways are represented)• Sequences are fragmentary and noisy, presenting additional challenges to bioinformaticsmethods• Huge datasets (in the millions of reads)Harnessing the power of the human microbiome, Blaser, PNAS 2010The New Science of Metagenomics: Revealing the Secrets of Our Microbial Planet Committee on Metagenomics: Challengesand Functional Applications, National Research Council. 2007.
SNP prioritization and interpretinghuman genetic variationPrediction of biological pathwaysand network alignmentSNPs occurring in coding regions of the genome can be prioritized for investigationbased on:• Predicted biological process or function of gene containing SNP• Predicted interactions (hubs of networks) of gene containing SNP• Impact of mutation at that site (INTREPID and Discern methods)9
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Grand Challenges in Computational Biology - Project web sites - Inria

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