Literature DB >> 19179703

Drawing rooted phylogenetic networks.

Daniel H Huson1.   

Abstract

The evolutionary history of a collection of species is usually represented by a phylogenetic tree. Sometimes, phylogenetic networks are used as a means of representing reticulate evolution or of showing uncertainty and incompatibilities in evolutionary datasets. This is often done using unrooted phylogenetic networks such as split networks, due in part, to the availability of software (SplitsTree) for their computation and visualization. In this paper we discuss the problem of drawing rooted phylogenetic networks as cladograms or phylograms in a number of different views that are commonly used for rooted trees. Implementations of the algorithms are available in new releases of the Dendroscope and SplitsTree programs.

Mesh:

Year:  2009        PMID: 19179703     DOI: 10.1109/TCBB.2008.58

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  5 in total

1.  Distribution and characterization of Shiga toxin converting temperate phages carried by Shigella flexneri in Hispaniola.

Authors:  Marta Fogolari; Carla Mavian; Silvia Angeletti; Marco Salemi; Keith A Lampel; Anthony T Maurelli
Journal:  Infect Genet Evol       Date:  2018-07-31       Impact factor: 3.342

2.  Diversity and systematics of the sequestrate genus Octaviania in Japan: two new subgenera and eleven new species.

Authors:  T Orihara; M E Smith; N Shimomura; K Iwase; N Maekawa
Journal:  Persoonia       Date:  2012-05-16       Impact factor: 11.051

3.  Tanglegrams for rooted phylogenetic trees and networks.

Authors:  Celine Scornavacca; Franziska Zickmann; Daniel H Huson
Journal:  Bioinformatics       Date:  2011-07-01       Impact factor: 6.937

4.  Emergence of recombinant Mayaro virus strains from the Amazon basin.

Authors:  Carla Mavian; Brittany D Rife; James Jarad Dollar; Eleonora Cella; Massimo Ciccozzi; Mattia C F Prosperi; John Lednicky; J Glenn Morris; Ilaria Capua; Marco Salemi
Journal:  Sci Rep       Date:  2017-08-18       Impact factor: 4.379

5.  High Complexity and Degree of Genetic Variation in Brettanomyces bruxellensis Population.

Authors:  Jean-Sébastien Gounot; Cécile Neuvéglise; Kelle C Freel; Hugo Devillers; Jure Piškur; Anne Friedrich; Joseph Schacherer
Journal:  Genome Biol Evol       Date:  2020-06-01       Impact factor: 3.416

  5 in total

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