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Lessons learned from operating a big metagenomics resource

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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

Metagenomics is a relatively new technique to assay microbial communities in laboratory and also natural settings. For the first time the genomes of many of the millions of previously uncharacterized species can be explored at least partially.

Metagenomics is fundamentally different from traditional genomics and requires new approaches that match the specific data types and the data volume.

Large scale comparative analysis of metagenomic data provides another unique opportunity for learning lessons about microbial biology, but also presents a significant number of challenges to both bioinformatics and computer science.

I will provide a lessons learned that summarizes some of the pitfalls encountered in recent years as well as new technologies developed to overcome those problems.

Related Links: – MG-RAST

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

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