DocumentCode
2771103
Title
Improving progressive alignment for phylogeny reconstruction using parsimonious guide-trees
Author
Roshan, Usman ; Livesay, Dennis R. ; Chikkagoudar, Satish
Author_Institution
New Jersey Inst. of Technol., Newark, NJ
fYear
2006
fDate
16-18 Oct. 2006
Firstpage
159
Lastpage
164
Abstract
Phylogenies are widely used for understanding the evolutionary histories of species and gene products. Maximum parsimony (MP) and maximum likelihood (ML) are commonly used optimization criteria for constructing phylogenies. However, phylogenetic descriptions depend not only on the employed reconstruction technique, but also on the underlying sequence alignment. Here, we establish a simple prescription to improve the underlying alignments used in phylogeny reconstruction. We adapt Gotoh´s iterative strategy for improving a progressive alignment (by using better guide-trees) specifically for the purpose of constructing optimal MP phylogenies. We improve the progressive alignment heuristic as implemented in the MUSCLE alignment program by iterating with maximum parsimony guide-trees constructed using PAUP*, yielding both deterministic and randomized heuristics. We evaluate accuracy on simulated data under a wide range of model conditions and show that phylogenies produced using our technique are more accurate than phylogenies on other alignments
Keywords
biology computing; evolution (biological); heuristic programming; iterative methods; maximum likelihood estimation; optimisation; trees (mathematics); Gotoh´s iterative strategy; MUSCLE alignment program; PAUP; maximum likelihood; maximum parsimony; optimization; parsimonious guide-trees; phylogeny reconstruction; randomized heuristics; Biology computing; Biomedical engineering; Convergence; History; Iterative methods; Muscles; Optimization methods; Phylogeny; Reconstruction algorithms; Software packages;
fLanguage
English
Publisher
ieee
Conference_Titel
BioInformatics and BioEngineering, 2006. BIBE 2006. Sixth IEEE Symposium on
Conference_Location
Arlington, VA
Print_ISBN
0-7695-2727-2
Type
conf
DOI
10.1109/BIBE.2006.253329
Filename
4019654
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