Lessons learned from operating a big metagenomics resource
Update: 2014-04-02
Description
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: http://metagenomics.anl.gov - MG-RAST
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: http://metagenomics.anl.gov - MG-RAST
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