tailieunhanh - Báo cáo y học: "An ontology for cell types"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: An ontology for cell types. | Method An ontology for cell types Jonathan Bard Seung Y Rhee and Michael Ashburner Open Access Addresses Department of Biomedical Sciences Hugh Robson Building University of Edinburgh Edinburgh EH8 9XD UK. ỶDepartment of Plant Biology Carnegie Institution of Washington Stanford CA 93405 USA. Department of Genetics University of Cambridge Cambridge CB2 3EH UK. EMBL-European Bioinformatics Institute Hinxton Cambridge CB10 1SD UK. Correspondence MichaelAshburner. E-mail ashburner@ Published 14 January 2005 Genome Biology 2005 6 R21 The electronic version of this article is the complete one and can be found online at http 2005 6 2 R21 Received 7 September 2004 Revised 10 November 2004 Accepted 9 December 2004 2005 Bard 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 We describe an ontology for cell types that covers the prokaryotic fungal animal and plant worlds. It includes over 680 cell types. These cell types are classified under several generic categories and are organized as a directed acyclic graph. The ontology is available in the formats adopted by the Open Biological Ontologies umbrella and is designed to be used in the context of model organism genome and other biological databases. The ontology is freely available at http and can be viewed using standard ontology visualization tools such as OBO-Edit and COBrA. Background One of the most challenging problems now facing the model organism databases is the formal description of phenotypic data. While some databases for example those for mouse Mus musculus 1 corn Zea mays 2 and fruit fly Drosophila melanogaster 3 include a rich heritage of data describing the phenotypes of mutants and some progress is being .