Abstract
This report summarizes the proceedings of the “Metagenomics, Metadata and Meta-analysis” (M3) Special Interest Group (SIG) meeting held at the Intelligent Systems for Molecular Biology 2009 conference. The Genomic Standards Consortium (GSC) hosted this meeting to explore the bottlenecks and emerging solutions for obtaining biological insights through large-scale comparative analysis of metagenomic datasets. The M3 SIG included 16 talks, half of which were selected from submitted abstracts, a poster session and a panel discussion involving members of the GSC Board. This report summarizes this one-day SIG, attempts to identify shared themes and recapitulates community recommendations for the future of this field. The GSC will also host an M3 workshop at the Pacific Symposium on Biocomputing (PSB) in January 2010. Further information about the GSC and its range of activities can be found at http://gensc.org/.
Highlights
There are thousands of genomes and metagenomes readily available and accessible for study [1]
Eric Alm (MIT) presented an analysis of gene transfer between microbes using phylogenomic methods and discussed how this process could be dissected to understand the history of microbial evolution much like reading the geological record. These two invited talks were followed by three contributed talks on projects designed to provide new ways of analyzing metagenomic data
The meeting closed with a panel discussion on the Past, Present and Future of the Genomic Standards Consortium (GSC) that was chaired by Dawn Field
Summary
There are thousands of genomes and metagenomes readily available and accessible for study (http://www.genomesonline.org/) [1]. Through a series of invited and contributed talks, a panel discussion, and flash talks associated with a poster session, the organizers aimed to highlight scientific advances in the field and identify core computational challenges facing the wider community Building such community-driven consensus, in the form of standards that support and accelerate scientific discovery in biology, is of growing importance. Eric Alm (MIT) presented an analysis of gene transfer between microbes using phylogenomic methods and discussed how this process could be dissected to understand the history of microbial evolution much like reading the geological record These two invited talks were followed by three contributed talks on projects designed to provide new ways of analyzing metagenomic data.
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