Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài:Measuring the accuracy of genome-size multiple alignments. | Open Access Mpthracl Measuring the accuracy of genome-size multiple alignments Amol Prakash and Martin Tompa Addresses Department of Computer Science and Engineering University of Washington Seattle WA 98195-2350 USA. Thermo BRIMS Center Memorial Drive Cambridge MA 02139 USA. Department of Genome Sciences University of Washington Seattle WA 98195-2350 USA Correspondence Amol Prakash. Email Published 26 June 2007 Genome Biology 2007 8 R124 doi gb-2007-8-6-rl 24 The electronic version of this article is the complete one and can be found online at http 2007 8 6 R124 Received 5 September 2006 Revised 7 December 2006 Accepted 26 June 2007 2007 Prakash and Tompa 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 Whole-genome alignments are invaluable for comparative genomics. Before doing any comparative analysis on a region of interest one must have confidence in that region s alignment. We provide a methodology to measure the accuracy of arbitrary regions of these alignments and apply it to the UCSC Genome Browser s 17-vertebrate alignment. We identify 21 Mbp of the human chromosome 1 alignment as suspiciously aligned. We present independent evidence that many of these suspicious regions represent misalignments. Background With the rapid sequencing of so many related genomes comparative genomics has emerged as one of the most important areas of computational biology. The workhorse of comparative genomics is the multiple sequence alignment particularly whole-genome multiple sequence alignments such as those provided by the UCSC Genome Browser 1 . These alignments are marvelous tools for anyone working in comparative genomics. More and more sophisticated analyses .
