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A program to compute the soft Robinson-Foulds distance between phylogenetic networks.
Lu, Bingxin; Zhang, Louxin; Leong, Hon Wai.
Afiliação
  • Lu B; Department of Computer Science, National University of Singapore, 13 Computing Drive, Singapore, 117417, Singapore.
  • Zhang L; Department of Mathematics, National University of Singapore, 10 Lower Kent Ridge, Singapore, 119076, Singapore. matzlx@nus.edu.sg.
  • Leong HW; Department of Computer Science, National University of Singapore, 13 Computing Drive, Singapore, 117417, Singapore.
BMC Genomics ; 18(Suppl 2): 111, 2017 03 14.
Article em En | MEDLINE | ID: mdl-28361712
BACKGROUND: Over the past two decades, phylogenetic networks have been studied to model reticulate evolutionary events. The relationships among phylogenetic networks, phylogenetic trees and clusters serve as the basis for reconstruction and comparison of phylogenetic networks. To understand these relationships, two problems are raised: the tree containment problem, which asks whether a phylogenetic tree is displayed in a phylogenetic network, and the cluster containment problem, which asks whether a cluster is represented at a node in a phylogenetic network. Both the problems are NP-complete. RESULTS: A fast exponential-time algorithm for the cluster containment problem on arbitrary networks is developed and implemented in C. The resulting program is further extended into a computer program for fast computation of the Soft Robinson-Foulds distance between phylogenetic networks. CONCLUSIONS: Two computer programs are developed for facilitating reconstruction and validation of phylogenetic network models in evolutionary and comparative genomics. Our simulation tests indicated that they are fast enough for use in practice. Additionally, the distribution of the Soft Robinson-Foulds distance between phylogenetic networks is demonstrated to be unlikely normal by our simulation data.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Algoritmos / Software / Biologia Computacional / Modelos Genéticos Limite: Animals Idioma: En Revista: BMC Genomics Assunto da revista: GENETICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Singapura

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Algoritmos / Software / Biologia Computacional / Modelos Genéticos Limite: Animals Idioma: En Revista: BMC Genomics Assunto da revista: GENETICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Singapura