Literature DB >> 11448889

T-REX: reconstructing and visualizing phylogenetic trees and reticulation networks.

V Makarenkov1.   

Abstract

UNLABELLED: T-REX (tree and reticulogram reconstruction) is an application to reconstruct phylogenetic trees and reticulation networks from distance matrices. The application includes a number of tree fitting methods like NJ, UNJ or ADDTREE which have been very popular in phylogenetic analysis. At the same time, the software comprises several new methods of phylogenetic analysis such as: tree reconstruction using weights, tree inference from incomplete distance matrices or modeling a reticulation network for a collection of objects or species. T-REX also allows the user to visualize obtained tree or network structures using Hierarchical, Radial or Axial types of tree drawing and manipulate them interactively. AVAILABILITY: T-REX is a freeware package available online at: http://www.fas.umontreal.ca/biol/casgrain/en/labo/t-rex

Mesh:

Year:  2001        PMID: 11448889     DOI: 10.1093/bioinformatics/17.7.664

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  35 in total

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3.  Reconstructing patterns of reticulate evolution in plants.

Authors:  C Randal Linder; Loren H Rieseberg
Journal:  Am J Bot       Date:  2004-10       Impact factor: 3.844

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Journal:  Appl Environ Microbiol       Date:  2011-03-18       Impact factor: 4.792

5.  TreeVector: scalable, interactive, phylogenetic trees for the web.

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Journal:  PLoS One       Date:  2010-01-28       Impact factor: 3.240

6.  T-REX: a web server for inferring, validating and visualizing phylogenetic trees and networks.

Authors:  Alix Boc; Alpha Boubacar Diallo; Vladimir Makarenkov
Journal:  Nucleic Acids Res       Date:  2012-06-06       Impact factor: 16.971

7.  A new effective method for estimating missing values in the sequence data prior to phylogenetic analysis.

Authors:  Abdoulaye Baniré Diallo; François-Joseph Lapointe; Vladimir Makarenkov
Journal:  Evol Bioinform Online       Date:  2007-02-01       Impact factor: 1.625

8.  Robustness in regulatory interaction networks. A generic approach with applications at different levels: physiologic, metabolic and genetic.

Authors:  Jacques Demongeot; Hedi Ben Amor; Adrien Elena; Pierre Gillois; Mathilde Noual; Sylvain Sené
Journal:  Int J Mol Sci       Date:  2009-11-20       Impact factor: 6.208

9.  Requirement for a core 1 galactosyltransferase in the Drosophila nervous system.

Authors:  Yuh-Ru Lin; B V V G Reddy; Kenneth D Irvine
Journal:  Dev Dyn       Date:  2008-12       Impact factor: 3.780

10.  Multiple evolutionary processes drive the patterns of genetic differentiation in a forest tree species complex.

Authors:  Rebecca C Jones; Dorothy A Steane; Martyn Lavery; René E Vaillancourt; Brad M Potts
Journal:  Ecol Evol       Date:  2012-11-23       Impact factor: 2.912

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