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SUMMARY:Contributed Talk 2: The Initiative for the Critical Assessment of 
 Metagenome Interpretation (CAMI) - McHardy\, AC (HHU Düsseldorf\, Germany
 )
DTSTART:20140911T094000Z
DTEND:20140911T095500Z
UID:TALK54157@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:Co-author: Alexander Sczyrba\, Eddy Rubin\, Nikos Kyrpides\, P
 aul Schulze-Lefert\, Julia Vorholt\, Nicole Shapiro\, Tanja Woyke\, Hans-P
 eter Klenk\, Stephan Majda\, Johannes Droege\, Ivan Gregor\, Peter Hofmann
 \, Eik Dahms\, Jessika Fiedler\, Ruben Garrido-Oter\, Yang Bai\, Girish Sr
 inivas\, Phil Blood\, Mihai Pop\, Aaron Darling\, Matthew DeMaere\, Dmitri
  Turaev\, Chris Hill\, Peter Belmann\, Andreas Bremges\, Thomas Rattei () 
 \nAbstract\nIn just over a decade\, metagenomics has developed into a powe
 rful and productive method in microbiology and microbial ecology. The abil
 ity to retrieve and organize bits and pieces of genomic DNA from any natur
 al context has opened a window into the vast universe of uncultivated micr
 obes. Tremendous progress has been made in computational approaches to int
 erpret this sequence data but none can completely recover the complex info
 rmation encoded in metagenomes. \n\nA number of challenges stand in the wa
 y. Simplifying assumptions are needed and lead to strong limitations and p
 otential inaccuracies in practice. Critically\, methodological improvement
 s are difficult to gauge due to the lack of a general standard for compari
 son. Developers face a substantial burden to individually evaluate existin
 g approaches\, which consumes time and computational resources\, and may i
 ntroduce unintended biases. \n\nCAMI (cami-challenge.org) is a new communi
 ty-led initiative designed to tackle these problems by aiming for an indep
 endent\, comprehensive and bias-free evaluation of methods. We are making 
 extensive high-quality unpublished metagenomic data sets available for dev
 elopers to test their short read assembly\, binning and taxonomic classifi
 cation methods. The results of CAMI will provide exhaustive quantitative m
 etrics on tool performance to serve as a guide to users under different sc
 enarios\, and to help developers identify promising directions for future 
 work. \n\nAs a community effort\, we encourage feedback by both method dev
 elopers and users of metagenome analysis tools. We urge developers to alre
 ady register for the competition on our website and to join our Google+ gr
 oup to provide feedback on the current design phase. The competition is te
 ntatively scheduled to open at the end of 2014. The results will be presen
 ted and discussed in a workshop after the competition. We aim for a public
 ation of the generated insights together with all CAMI contest participant
 s and data contributors. 
LOCATION:Seminar Room 1\, Newton Institute
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