| Literature DB >> 22290800 |
Alexandra M E Jones1, Ruedi Aebersold, Christian H Ahrens, Rolf Apweiler, Katja Baerenfaller, Mark Baker, Emøke Bendixen, Steve Briggs, Philip Brownridge, Erich Brunner, Michael Daube, Eric W Deutsch, Ueli Grossniklaus, Joshua Heazlewood, Michael O Hengartner, Henning Hermjakob, Marko Jovanovic, Craig Lawless, Günter Lochnit, Lennart Martens, Christian Ravnsborg, Sabine P Schrimpf, Yhong-Hee Shim, Deni Subasic, Andreas Tholey, Klaas van Wijk, Christian von Mering, Manuel Weiss, Xue Zheng.
Abstract
The community working on model organisms is growing steadily and the number of model organisms for which proteome data are being generated is continuously increasing. To standardize efforts and to make optimal use of proteomics data acquired from model organisms, a new Human Proteome Organisation (HUPO) initiative on model organism proteomes (iMOP) was approved at the HUPO Ninth Annual World Congress in Sydney, 2010. iMOP will seek to stimulate scientific exchange and disseminate HUPO best practices. The needs of model organism researchers for central databases will be better represented, catalyzing the integration of proteomics and organism-specific databases. Full details of iMOP activities, members, tools and resources can be found at our website http://www.imop.uzh.ch/ and new members are invited to join us.Entities:
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Year: 2012 PMID： 22290800 DOI： 10.1002/pmic.201290014
Source DB: PubMed Journal: Proteomics ISSN： 1615-9853 Impact factor: 3.984