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Bioinformatics Advance Access originally published online on December 7, 2004
Bioinformatics 2005 21(8):1735-1736; doi:10.1093/bioinformatics/bti201
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© The Author 2004. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions{at}oupjournals.org

CLUSTAG: hierarchical clustering and graph methods for selecting tag SNPs

S. I. Ao 1, Kevin Yip 2, Michael Ng 1,*, David Cheung 2, Pui-Yee Fong 3, Ian Melhado 3 and Pak C. Sham 3

1Department of Mathematics, The University of Hong Kong Pokfulam, Hong Kong
2Department of Computer Science, The University of Hong Kong Pokfulam, Hong Kong
3Genome Research Center, The University of Hong Kong Pokfulam, Hong Kong

*To whom correspondence should be addressed.

Summary: Cluster and set-cover algorithms are developed to obtain a set of tag single nucleotide polymorphisms (SNPs) that can represent all the known SNPs in a chromosomal region, subject to the constraint that all SNPs must have a squared correlation R2 > C with at least one tag SNP, where C is specified by the user.

Availability: http://hkumath.hku.hk/web/link/CLUSTAG/CLUSTAG.html

Contact: mng{at}maths.hku.hk


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