首页> 外文会议>Bioinformatics Research and Applications; Lecture Notes in Bioinformatics; 4463 >Searching for Recombinant Donors in a Phylogenetic Network of Serial Samples
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Searching for Recombinant Donors in a Phylogenetic Network of Serial Samples

机译:在系列样品的系统发生网络中寻找重组供体。

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Determining the evolutionary history of a sampled sequence can become quite complex when multiple recombination events are part of its past. With at least five new recombination detection methods published in the last year, the growing list of over 40 methods suggests that this field is generating a lot of interest. In previous studies comparing recombination detection methods, the evaluation procedures did not measure how many recombinant sequences, breakpoints and donors were correctly identified. In this paper we will present the algorithm Recldentify that scans a phylogenetic network and uses its edge lengths and topology to identify the parental/donor sequences and breakpoint positions for each query sequence. Recldentify findings can be used to evaluate the output of recombination detection programs. Recldentify may also assist in understanding how network size and complexity may shape recombination signals in a set of DNA sequences. The results may prove useful in the phylogenetic study of serially-sampled viral data with recombination events.
机译:当多个重组事件成为过去的一部分时,确定采样序列的进化历史可能会变得非常复杂。去年至少发布了五种新的重组检测方法,越来越多的40多种方法表明该领域引起了人们的极大兴趣。在比较重组检测方法的先前研究中,评估程序并未测量正确鉴定出多少重组序列,断点和供体。在本文中,我们将介绍算法Recldentify,该算法扫描系统发育网络,并使用其边缘长度和拓扑来标识每个查询序列的亲本/供体序列和断点位置。鉴定结果可用于评估重组检测程序的输出。鉴定也可以帮助理解网络大小和复杂性如何影响一组DNA序列中的重组信号。该结果可能被证明对具有重组事件的系列采样病毒数据的系统发育研究有用。

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