Identifying orthologs: cycle splitting on the breakpoint graph

K. M. Swenson, N. Pattengale, Bernard M. E. Moret
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Abstract

Gene rearrangements have successfully been used in phylogenetic reconstruction and comparative genomics but usually under the assumption that all genomes have the same gene content and that no gene is duplicated. While searching for orthologies is a common task in computational biology, it is usually done using sequence data. This paper approach that problem using gene rearrangement data. Identifying a single gene within each family on the basis of a parsimonious criterion and discarding all others. Steps were taken to remedy this problem by providing an optimization framework derived from the breakpoint graph. The basic structure describing a pair of genomes with no duplicates and equal gene content is the breakpoint graph.
识别同源物:断点图上的循环分裂
基因重排已经成功地用于系统发育重建和比较基因组学,但通常是在假设所有基因组具有相同的基因含量和没有重复基因的情况下进行的。虽然在计算生物学中搜索同源是一项常见的任务,但它通常使用序列数据来完成。本文利用基因重排数据来解决这一问题。在一个吝啬的标准的基础上确定每个家庭中的一个基因,并抛弃所有其他的。通过提供从断点图派生的优化框架,我们采取了一些措施来解决这个问题。描述一对没有重复且基因含量相等的基因组的基本结构是断点图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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