Literature DB >> 27806124

A Survey of Methods for Constructing Rooted Phylogenetic Networks.

Juan Wang1.   

Abstract

Rooted phylogenetic networks are primarily used to represent conflicting evolutionary information and describe the reticulate evolutionary events in phylogeny. So far a lot of methods have been presented for constructing rooted phylogenetic networks, of which the methods based on the decomposition property of networks and by means of the incompatible graph (such as the CASS, the LNETWORK and the BIMLR) are more efficient than other available methods. The paper will discuss and compare these methods by both the practical and artificial datasets, in the aspect of the running time of the methods and the effective of constructed phylogenetic networks. The results show that the LNETWORK can construct much simper networks than the others.

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Mesh:

Year:  2016        PMID: 27806124      PMCID: PMC5091748          DOI: 10.1371/journal.pone.0165834

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  25 in total

1.  Dendroscope 3: an interactive tool for rooted phylogenetic trees and networks.

Authors:  Daniel H Huson; Celine Scornavacca
Journal:  Syst Biol       Date:  2012-07-10       Impact factor: 15.683

2.  Efficient reconstruction of phylogenetic networks with constrained recombination.

Authors:  Dan Gusfield; Satish Eddhu; Charles Langley
Journal:  Proc IEEE Comput Soc Bioinform Conf       Date:  2003

3.  LNETWORK: an efficient and effective method for constructing phylogenetic networks.

Authors:  Juan Wang; Maozu Guo; Xiaoyan Liu; Yang Liu; Chunyu Wang; Linlin Xing; Kai Che
Journal:  Bioinformatics       Date:  2013-06-29       Impact factor: 6.937

4.  Survey of MapReduce frame operation in bioinformatics.

Authors:  Quan Zou; Xu-Bin Li; Wen-Rui Jiang; Zi-Yu Lin; Gui-Lin Li; Ke Chen
Journal:  Brief Bioinform       Date:  2013-02-07       Impact factor: 11.622

5.  A new algorithm to construct phylogenetic networks from trees.

Authors:  J Wang
Journal:  Genet Mol Res       Date:  2014-03-06

6.  Inferring microRNA-disease associations by random walk on a heterogeneous network with multiple data sources.

Authors:  Yuansheng Liu; Xiangxiang Zeng; Zengyou He; Quan Zou
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2016-04-05       Impact factor: 3.710

Review 7.  Xenacoelomorpha's significance for understanding bilaterian evolution.

Authors:  Andreas Hejnol; Kevin Pang
Journal:  Curr Opin Genet Dev       Date:  2016-06-17       Impact factor: 5.578

8.  Close lower and upper bounds for the minimum reticulate network of multiple phylogenetic trees.

Authors:  Yufeng Wu
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

9.  Computing galled networks from real data.

Authors:  Daniel H Huson; Regula Rupp; Vincent Berry; Philippe Gambette; Christophe Paul
Journal:  Bioinformatics       Date:  2009-06-15       Impact factor: 6.937

10.  Expression of segment polarity genes in brachiopods supports a non-segmental ancestral role of engrailed for bilaterians.

Authors:  Bruno C Vellutini; Andreas Hejnol
Journal:  Sci Rep       Date:  2016-08-26       Impact factor: 4.379

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