Literature DB >> 17267425

A simulation test bed for hypotheses of genome evolution.

Robert G Beiko1, Robert L Charlebois.   

Abstract

MOTIVATION: Microbial genomes undergo evolutionary processes such as gene family expansion and contraction, variable rates and patterns of sequence substitution and lateral genetic transfer. Simulation tools are essential for both the generation of data under different evolutionary models and the validation of analytical methods on such data. However, meaningful investigation of phenomena such as lateral genetic transfer requires the simultaneous consideration of many underlying evolutionary processes.
RESULTS: We have developed EvolSimulator, a software package that combines non-stationary sequence and gene family evolution together with models of lateral genetic transfer, within a customizable birth-death model of speciation and extinction. Here, we examine simulated data sets generated with EvolSimulator using existing statistical techniques from the evolutionary literature, showing in detail each component of the simulation strategy. AVAILABILITY: Source code, manual and other information are freely available at www.bioinformatics.org.au/evolsim. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Year:  2007        PMID: 17267425     DOI: 10.1093/bioinformatics/btm024

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


  18 in total

1.  Role of premature stop codons in bacterial evolution.

Authors:  Tit-Yee Wong; Sanjit Fernandes; Naby Sankhon; Patrick P Leong; Jimmy Kuo; Jong-Kang Liu
Journal:  J Bacteriol       Date:  2008-08-15       Impact factor: 3.490

2.  Simulation of genes and genomes forward in time.

Authors:  Antonio Carvajal-Rodríguez
Journal:  Curr Genomics       Date:  2010-03       Impact factor: 2.236

3.  EvoPipes.net: Bioinformatic Tools for Ecological and Evolutionary Genomics.

Authors:  Michael S Barker; Katrina M Dlugosch; Louie Dinh; R Sashikiran Challa; Nolan C Kane; Matthew G King; Loren H Rieseberg
Journal:  Evol Bioinform Online       Date:  2010-10-20       Impact factor: 1.625

4.  Simulation of molecular data under diverse evolutionary scenarios.

Authors:  Miguel Arenas
Journal:  PLoS Comput Biol       Date:  2012-05-31       Impact factor: 4.475

5.  NU-IN: Nucleotide evolution and input module for the EvolSimulator genome simulation platform.

Authors:  Katrina M Dlugosch; Michael S Barker; Loren H Rieseberg
Journal:  BMC Res Notes       Date:  2010-08-02

6.  Assembling networks of microbial genomes using linear programming.

Authors:  Catherine Holloway; Robert G Beiko
Journal:  BMC Evol Biol       Date:  2010-11-20       Impact factor: 3.260

7.  ALF--a simulation framework for genome evolution.

Authors:  Daniel A Dalquen; Maria Anisimova; Gaston H Gonnet; Christophe Dessimoz
Journal:  Mol Biol Evol       Date:  2011-12-08       Impact factor: 16.240

8.  PHYRN: a robust method for phylogenetic analysis of highly divergent sequences.

Authors:  Gaurav Bhardwaj; Kyung Dae Ko; Yoojin Hong; Zhenhai Zhang; Ngai Lam Ho; Sree V Chintapalli; Lindsay A Kline; Matthew Gotlin; David Nicholas Hartranft; Morgen E Patterson; Foram Dave; Evan J Smith; Edward C Holmes; Randen L Patterson; Damian B van Rossum
Journal:  PLoS One       Date:  2012-04-13       Impact factor: 3.240

9.  Pyvolve: A Flexible Python Module for Simulating Sequences along Phylogenies.

Authors:  Stephanie J Spielman; Claus O Wilke
Journal:  PLoS One       Date:  2015-09-23       Impact factor: 3.240

10.  Tools for simulating evolution of aligned genomic regions with integrated parameter estimation.

Authors:  Avinash Varadarajan; Robert K Bradley; Ian H Holmes
Journal:  Genome Biol       Date:  2008-10-08       Impact factor: 13.583

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