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SUMMARY:Lessons learned from operating a big metagenomics resource - Meyer
 \, F (Argonne National Laboratory\, USA)
DTSTART:20140324T113000Z
DTEND:20140324T123000Z
UID:TALK51572@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:Metagenomics is a relatively new technique to assay microbial 
 communities in laboratory and also natural settings. For the first time th
 e genomes of many of the millions of previously uncharacterized species ca
 n be explored at least partially. \n\nMetagenomics is fundamentally differ
 ent from traditional genomics and requires new approaches that match the s
 pecific data types and the data volume. \n\nLarge scale comparative analys
 is of metagenomic data provides another unique opportunity for learning le
 ssons about microbial biology\, but also presents a significant number of 
 challenges to both bioinformatics and computer science. \n\nI will provide
  a lessons learned that summarizes some of the pitfalls encountered in rec
 ent years as well as new technologies developed to overcome those problems
 . \n\nRelated Links: http://metagenomics.anl.gov - MG-RAST \n\n
LOCATION:Seminar Room 1\, Newton Institute
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