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PMID: 12874048 Published · ppublish English Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't Validation Study

Exact significance levels for the maximum chi(2) method of detecting recombination.

Bioinformatics (Oxford, England) ·Vol. 19 ·No. 11 ·2003-07-22 ·Pages 1368-70

Spencer M

Abstract

Maynard Smith's maximum chi(2) method is a useful tool for detecting recombination. Significance testing is usually carried out by random permutation, which may require a large amount of computer time. I describe an exact algorithm. Matlab source code from http://www.bioc.cam.ac.uk/UTOs/howe/

MeSH Terms

Algorithms Chi-Square Distribution Computer Simulation Gene Expression Profiling/methods Genetic Variation Likelihood Functions Models, Genetic Models, Statistical Recombination, Genetic/genetics Reproducibility of Results Sensitivity and Specificity Sequence Alignment Sequence Analysis, DNA/methods

Authors & Affiliations

1 authors, click to expand affiliations / ORCID

Spencer M

Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1QW, England. ms379@cam.ac.uk

Article Info

Journal

Bioinformatics (Oxford, England)

Abbr.

Bioinformatics

ISSN

1367-4803

DOI

10.1093/bioinformatics/btg171

ms379@cam.ac.uk

Published

2003-07-22

Pages

1368-70

Language

English

Region

England

NLM ID

9808944

Subset

External Links

PubMed source DOI: 10.1093/bioinformatics/btg171 View journal details

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Exact significance levels for the maximum chi(2) method of detecting recombination.

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