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Prokaryotic phylogenies inferred from continuous orthologous genes

机译:从连续直系同源基因推断出的原核系统发育

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The phylogeny is a method used to represent the evolutionary relationship among various groups of species. With the increasing availability of whole genome datasets, it is becoming possible to infer organism phylogenies by orthologous gene data. The COGs (Clusters of Orthologous Groups) comprise a framework for the analysis of evolutionary and functional relationships among homologous genes from multiple genomes. In this paper, a novel prokaryotic phylogenies inferring model is proposed which is based on orthologous genes between each genome pair. Firstly, orthologous genes are measured from COGs. Secondly, the evolutionary distance between two genomes is calculated by the number of orthologous genes which are continuous. Finally, a neighbor joining method is used to construct the phylogenetic tree. The proposed method is examined on different datasets from 398 prokaryotic genomes and achieves average accuracy above 90% agreement with Bergey's taxonomy in quartet topologies. Our experimental results demonstrate the effectiveness of the proposed algorithm for phylogenetic analysis.
机译:系统发育是一种用来表示各种物种之间的进化关系的方法。随着全基因组数据集可用性的提高,通过直系同源基因数据推断生物系统发育成为可能。 COG(直系同源群)包括一个框架,用于分析来自多个基因组的同源基因之间的进化和功能关系。本文基于每个基因对之间的直系同源基因,提出了一种新的原核系统发育推断模型。首先,从COGs测量直系同源基因。其次,通过连续的直系同源基因的数目计算两个基因组之间的进化距离。最后,使用邻居连接法构建系统发育树。该方法在来自398个原核基因组的不同数据集上进行了检查,并在四重奏拓扑中达到了与Bergey分类法一致的90%以上的平均准确度。我们的实验结果证明了该算法在系统发育分析中的有效性。

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