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Emulating Insertion and Deletion Events in Genome Rearrangement Analysis

机译:基因组重排分析中的仿真插入和删除事件

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Great advancements have been achieved in phylogenetic reconstruction from genome rearrangement events but difficult problems still remain. One challenge is to deal with more complex events such as gene insertions and deletions such that we can analyze both gene order and gene content changes in tandem. We propose the concept of prosthetic chromosomes to incorporate these events into the standard double-cut-and-join (DCJ) distance metric widely used for genome scale rearrangement analysis. In this paper, we also introduce our new software package Egchel (Extended Gene Content HEuristic Layer) which implements this prosthetic chromosome model. Egchel can modify unequal content gene order data sets such that they are able to be analyzed by existing phylogenetic tree builders specifically designed to work with equal content gene order data sets. When compared to existing pair wise analysis of unequal content data sets, Egcheluses a global approach, produces substantially more accurate phylogenetic trees, and is significantly more likely to generate the best available tree.
机译:来自基因组重新排列事件的系统发育重建中已经实现了巨大进步,但仍然存在困难的问题。一个挑战是处理更复杂的事件,如基因插入和缺失,使得我们可以分析串联的基因令和基因含量变化。我们提出了假体染色体的概念,将这些事件纳入标准的双切连接(DCJ)距离度量广泛用于基因组尺度重排分析。在本文中,我们还介绍了我们的新软件包EGCHEL(扩展基因含量启发式层),其实现了这种假体染色体模型。 EGCHEL可以修改不等内容基因订单数据集,使得它们能够通过专门设计用于使用等于内容基因阶数据集的现有系统发育树制造商进行分析。与不相等内容数据集的现有对明智分析相比,例如全局方法,产生基本上更准确的系统发育树,并且显着更有可能产生最佳可用树。

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