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: Benchmarking ortholog identification methods using functional genomics data. | Research Open Access Benchmarking ortholog identification methods using functional genomics data Tim Hulsen Martijn A Huynen Jacob de Vlieg and Peter MA Groenen Addresses Centre for Molecular and Biomolecular Informatics Nijmegen Centre for Molecular Life Sciences Radboud University Nijmegen Toernooiveld 1 Nijmegen 6500 GL The Netherlands. ỶNV Organon Molenstraat 110 Oss 5340 BH The Netherlands. Correspondence PeterMAGroenen. Email Published 13 April 2006 Genome Biology 2006 7 R31 doi 186 gb-2006-7-4-r31 The electronic version of this article is the complete one and can be found online at http 2006 7 4 R31 Received 21 July 2005 Revised 6 December 2005 Accepted 14 March 2006 2006 Hulsen 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 Background The transfer of functional annotations from model organism proteins to human proteins is one of the main applications of comparative genomics. Various methods are used to analyze cross-species orthologous relationships according to an operational definition of orthology. Often the definition of orthology is incorrectly interpreted as a prediction of proteins that are functionally equivalent across species while in fact it only defines the existence of a common ancestor for a gene in different species. However it has been demonstrated that orthologs often reveal significant functional similarity. Therefore the quality of the orthology prediction is an important factor in the transfer of functional annotations and other related information . To identify protein pairs with the highest possible functional similarity it is important to qualify ortholog identification methods. Results To measure the similarity in function of .
