Literature DB >> 16085574

Simultaneous statistical multiple alignment and phylogeny reconstruction.

Roland Fleissner1, Dirk Metzler, Arndt von Haeseler.   

Abstract

Although the reconstruction of phylogenetic trees and the computation of multiple sequence alignments are highly interdependent, these two areas of research lead quite separate lives, the former often making use of stochastic modeling, whereas the latter normally does not. Despite the fact that reasonable insertion and deletion models for sequence pairs were already introduced more than 10 years ago, they have only recently been applied to multiple alignment and only in their simplest version. In this paper we present and discuss a strategy based on simulated annealing, which makes use of these models to infer a phylogenetic tree for a set of DNA or protein sequences together with the sequences'indel history, i.e., their multiple alignment augmented with information about the positioning of insertion and deletion events in the tree. Our method is also the first application of the TKF2 model in the context of multiple sequence alignment. We validate the method via simulations and illustrate it using a data set of primate mtDNA.

Mesh:

Year:  2005        PMID: 16085574     DOI: 10.1080/10635150590950371

Source DB:  PubMed          Journal:  Syst Biol        ISSN: 1063-5157            Impact factor:   15.683


  22 in total

Review 1.  Taking the first steps towards a standard for reporting on phylogenies: Minimum Information About a Phylogenetic Analysis (MIAPA).

Authors:  Jim Leebens-Mack; Todd Vision; Eric Brenner; John E Bowers; Steven Cannon; Mark J Clement; Clifford W Cunningham; Claude dePamphilis; Rob deSalle; Jeff J Doyle; Jonathan A Eisen; Xun Gu; John Harshman; Robert K Jansen; Elizabeth A Kellogg; Eugene V Koonin; Brent D Mishler; Hervé Philippe; J Chris Pires; Yin-Long Qiu; Seung Y Rhee; Kimmen Sjölander; Douglas E Soltis; Pamela S Soltis; Dennis W Stevenson; Kerr Wall; Tandy Warnow; Christian Zmasek
Journal:  OMICS       Date:  2006

2.  Predicting RNA secondary structures with pseudoknots by MCMC sampling.

Authors:  Dirk Metzler; Markus E Nebel
Journal:  J Math Biol       Date:  2007-06-23       Impact factor: 2.259

3.  Basing population genetic inferences and models of molecular evolution upon desired stationary distributions of DNA or protein sequences.

Authors:  Sang Chul Choi; Benjamin D Redelings; Jeffrey L Thorne
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-12-27       Impact factor: 6.237

4.  Large-scale multiple sequence alignment and tree estimation using SATé.

Authors:  Kevin Liu; Tandy Warnow
Journal:  Methods Mol Biol       Date:  2014

Review 5.  Statistics and truth in phylogenomics.

Authors:  Sudhir Kumar; Alan J Filipski; Fabia U Battistuzzi; Sergei L Kosakovsky Pond; Koichiro Tamura
Journal:  Mol Biol Evol       Date:  2011-08-26       Impact factor: 16.240

6.  Evaluating Statistical Multiple Sequence Alignment in Comparison to Other Alignment Methods on Protein Data Sets.

Authors:  Michael Nute; Ehsan Saleh; Tandy Warnow
Journal:  Syst Biol       Date:  2019-05-01       Impact factor: 15.683

7.  Using the Multiple Analysis Approach to Reconstruct Phylogenetic Relationships among Planktonic Foraminifera from Highly Divergent and Length-polymorphic SSU rDNA Sequences.

Authors:  Ralf Aurahs; Markus Göker; Guido W Grimm; Vera Hemleben; Christoph Hemleben; Ralf Schiebel; Michal Kucera
Journal:  Bioinform Biol Insights       Date:  2009-11-11

8.  Efficient and interpretable prediction of protein functional classes by correspondence analysis and compact set relations.

Authors:  Jia-Ming Chang; Jean-Francois Taly; Ionas Erb; Ting-Yi Sung; Wen-Lian Hsu; Chuan Yi Tang; Cedric Notredame; Emily Chia-Yu Su
Journal:  PLoS One       Date:  2013-10-11       Impact factor: 3.240

9.  The tree alignment problem.

Authors:  Andrés Varón; Ward C Wheeler
Journal:  BMC Bioinformatics       Date:  2012-11-09       Impact factor: 3.169

10.  Choosing and using introns in molecular phylogenetics.

Authors:  Simon Creer
Journal:  Evol Bioinform Online       Date:  2007-06-14       Impact factor: 1.625

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