tailieunhanh - Báo cáo y học: "Hawkeye: an interactive visual analytics tool for genome assemblies"

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: Hawkeye: an interactive visual analytics tool for genome assemblies. | Open Access Software Hawkeye an interactive visual analytics tool for genome assemblies Michael C Schatz Adam M Phillippy Ben Shneiderman and Steven L Salzberg Addresses Center for Bioinformatics and Computational Biology Biomolecular Sciences Building University of Maryland College Park Maryland 20742 USA. Department of Computer Science and Human-Computer Interaction Lab . Williams Building University of Maryland College Park Maryland 20742 USA. Correspondence Michael C Schatz. Email mschatz@ Published 9 March 2007 Genome Biology 2007 8 R34 doi 186 gb-2007-8-3-r34 The electronic version of this article is the complete one and can be found online at http 2007 8 3 R34 Received 25 October 2006 Revised 10 January 2007 Accepted 9 March 2007 2007 Schatz 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 Genome sequencing remains an inexact science and genome sequences can contain significant errors if they are not carefully examined. Hawkeye is our new visual analytics tool for genome assemblies designed to aid in identifying and correcting assembly errors. Users can analyze all levels of an assembly along with summary statistics and assembly metrics and are guided by a ranking component towards likely mis-assemblies. Hawkeye is freely available and released as part of the open source AMOS project http hawkeye. Rationale Since the DNA of the first free living organism was sequenced in 1995 1 using the whole-genome shotgun WGS technique 2 hundreds of other organisms including the human genome 3 4 and numerous model organisms have been sequenced using WGS. The relatively low cost and high speed of the WGS method have made it the preferred method of genome .