tailieunhanh - Báo cáo y học: " The Cell Cycle Ontology: an application ontology for the..."

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: The Cell Cycle Ontology: an application ontology for the. | Software Open Access The Cell Cycle Ontology an application ontology for the representation and integrated analysis of the cell cycle process Erick Antezana Mikel Egana Ward Blondé Aitzol Illarramendi Inaki Bilbao Bernard De Baets Robert Stevens Vladimir Mironov and Martin Kuiper Addresses Department of Plant Systems Biology VIB Technologiepark 927 B-9052 Gent Belgium. Department of Molecular Genetics Ghent University Technologiepark 927 B-9052 Gent Belgium. School of Computer Science University of Manchester Oxford Road Manchester M13 9PL UK. Department of Applied Mathematics Biometrics and Computer Science Ghent University Coupure links 653 B-9000 Gent Belgium. Noray Bioinformatics SL Parque Tecnológico 801 A 2 48160 Derio Bizkaia Spain. Department of Biology Norwegian University of Science and Technology Hogskoleringen 5 NO-7491 Trondheim Norway. Correspondence Martin Kuiper. Email Published 29 May 2009 Genome Biology 2009 10 R58 doi gb-2009- 10-5-r58 The electronic version of this article is the complete one and can be found online at http 2009 10 5 R58 Received 20 December 2008 Revised 17 April 2009 Accepted 29 May 2009 2009 Antezana et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract The Cell Cycle Ontology http is an application ontology that automatically captures and integrates detailed knowledge on the cell cycle process. Cell Cycle Ontology is enabled by semantic web technologies and is accessible via the web for browsing visualizing advanced querying and computational reasoning. Cell Cycle Ontology facilitates a detailed analysis of cell cycle-related molecular network components. Through querying and automated reasoning it

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