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PMID: 16982706 Published · ppublish English Journal Article Research Support, N.I.H., Extramural

Clearcut: a fast implementation of relaxed neighbor joining.

Bioinformatics (Oxford, England) ·Vol. 22 ·No. 22 ·2006-11-15 ·Pages 2823-4

Sheneman L, Evans J, Foster JA

Abstract

Clearcut is an open source implementation for the relaxed neighbor joining (RNJ) algorithm. While traditional neighbor joining (NJ) remains a popular method for distance-based phylogenetic tree reconstruction, it suffers from a O(N(3)) time complexity, where N represents the number of taxa in the input. Due to this steep asymptotic time complexity, NJ cannot reasonably handle very large datasets. In contrast, RNJ realizes a typical-case time complexity on the order of N(2)logN without any significant qualitative difference in output. RNJ is particularly useful when inferring a very large tree or a large number of trees. In addition, RNJ retains the desirable property that it will always reconstruct the true tree given a matrix of additive pairwise distances. Clearcut implements RNJ as a C program, which takes either a set of aligned sequences or a pre-computed distance matrix as input and produces a phylogenetic tree. Alternatively, Clearcut can reconstruct phylogenies using an extremely fast standard NJ implementation. Clearcut source code is available for download at: http://bioinformatics.hungry.com/clearcut

MeSH Terms
Algorithms Computational Biology/methods Computer Simulation Evolution, Molecular Models, Genetic Models, Statistical Phylogeny Programming Languages Software
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Sheneman Luke
Department of Biological Sciences, University of Idaho, Moscow, ID, USA. [email protected]
Evans Jason
Foster James A
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4811
Published
2006-11-15
Epub
2006-00-18
Pages
2823-4
Language
English
Region
England
NLM ID
9808944
Subset
IM
Grants
NCRR NIH HHS · 1P20 RR16448 · United States
NCRR NIH HHS · P20 RR16454 · United States
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