首页> 外文期刊>Journal of Bioinformatics and Computational Biology >RECONSTRUCTING AN ULTRAMETRIC GALLED PHYLOGENETIC NETWORK FROM A DISTANCE MATRIX
【24h】

RECONSTRUCTING AN ULTRAMETRIC GALLED PHYLOGENETIC NETWORK FROM A DISTANCE MATRIX

机译:从距离矩阵重建超大规模的系统发育网络

获取原文
获取原文并翻译 | 示例
           

摘要

Given a distance matrix M that specifies the pairwise evolutionary distances between n species, the phylogenetic tree reconstruction problem asks for an edge-weighted phylogenetic tree that satisfies M, if one exists. We study some extensions of this problem to rooted phylogenetic networks. Our main result is an O(n~2 log n)-time algorithm for determining whether there is an ultrametric galled network that satisfies M, and if so, constructing one. In fact, if such an ultrametric galled network exists, our algorithm is guaranteed to construct one containing the minimum possible number of nodes with more than one parent (hybrid nodes). We also prove that finding a largest possible submatrix M′ of M such that there exists an ultrametric galled network that satisfies M′ is NP-hard. Furthermore, we show that given an incomplete distance matrix (i.e. where some matrix entries are missing), it is also NP-hard to determine whether there exists an ultrametric galled network which satisfies it.
机译:给定一个距离矩阵M,该距离矩阵M指定了n个物种之间的成对进化距离,则系统树重建问题将要求满足M的边缘加权系统树(如果存在)。我们研究此问题到根系系统网络的一些扩展。我们的主要结果是一种O(n〜2 log n)-时间算法,用于确定是否存在满足M的超精算网络,如果是,则构造一个。实际上,如果存在这样的超高速网络,我们的算法可以保证构造一个包含尽可能多的父节点(混合节点)的节点。我们还证明,找到M的最大可能子矩阵M'使得存在一个满足M'的超测速网络是NP-hard。此外,我们表明给定一个不完整的距离矩阵(即缺少某些矩阵条目),确定是否存在满足要求的超测速网络也是NP难的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号