CLUSTAG: hierarchical clustering and graph methods for selecting tag SNPs.
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.


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


BACKGROUND
mng@maths.hku.hk.
Ao
S I
SI
Department of Mathematics, The University of Hong Kong, Pokfulam, Hong Kong.
Yip
Kevin
K
Ng
Michael
M
Cheung
David
D
Fong
Pui-Yee
PY
Melhado
Ian
I
Sham
Pak C
PC
D000465:Algorithms; D002874:Chromosome Mapping / Q000379:methods*; D016000:Cluster Analysis; D004252:DNA Mutational Analysis / Q000379:methods*; D020224:Expressed Sequence Tags; D005828:Genetics, Population; D015894:Genome, Human; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D012984:Software