tailieunhanh - Báo cáo y học: "Anopheles gambiae genome reannotation through synthesis of ab initio and comparative gene prediction algorithms"

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: Anopheles gambiae genome reannotation through synthesis of ab initio and comparative gene prediction algorithms. | Research Open Access Anopheles gambiae genome reannotation through synthesis of ab initio and comparative gene prediction algorithms Jun Li Michelle M Riehle Yan Zhang Jiannong Xu Frederick Oduol Shawn M Gomez Karin Eiglmeier Beatrix M Ueberheide Jeffrey Shabanowitz Donald F Hunt José MC Ribeiro and Kenneth D Vernick Addresses Center for Microbial and Plant Genomics and Department of Microbiology University of Minnesota St Paul MN 55108 USA. Unité de Biochimie et Biologie Moléculaire des Insectes and CNRS FRE 2849 Institut Pasteur 75724 Paris Cedex 15 France. Department of Chemistry McCormick Rd University of Virginia Charlottesville VA 22904 USA. Laboratory of Malaria and Vector Research National Institute of Allergy and Infectious Diseases Bethesda MD 20892 USA. Correspondence Kenneth D Vernick. Email kvernick@ Published 27 March 2006 Genome Biology 2006 7 R24 doi 186 gb-2006-7-3-r24 The electronic version of this article is the complete one and can be found online at http 2006 7 3 R24 Received 19 October 2005 Revised 19 January 2006 Accepted 23 February 2006 2006 Li 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 Complete genome annotation is a necessary tool as Anopheles gambiae researchers probe the biology of this potent malaria vector. Results We reannotate the A. gambiae genome by synthesizing comparative and ab initio sets of predicted coding sequences CDSs into a single set using an exon-gene-union algorithm followed by an open-reading-frame-selection algorithm. The reannotation predicts 20 970 CDSs supported by at least two lines of evidence and it lowers the proportion of CDSs lacking start and or stop codons to only approximately 4 . The reannotated CDS .

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