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Bioinformatics Advance Access published online on December 7, 2004
Bioinformatics, doi:10.1093/bioinformatics/bti201
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Bioinformatics © Oxford University Press 2004; all rights reserved.
Received October 13, 2004
Revised November 30, 2004
Accepted December 1, 2004

Applications note

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

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

* To whom correspondence should be addressed.
Michael Ng, E-mail: mng{at}maths.hku.hk


  Abstract

Summary: Cluster and set-cover algorithms are developed to obtain a set of tag 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.


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