title: CLUSTAG: hierarchical clustering and graph methods for selecting tag SNPs.
abstract: 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.
authors.affiliation: Department of Mathematics, The University of Hong Kong, Pokfulam, Hong Kong.
authors.forename: S I
authors.initials: SI
authors.lastname: Ao
authors.forename: Kevin
authors.initials: K
authors.lastname: Yip
authors.forename: Michael
authors.initials: M
authors.lastname: Ng
authors.forename: David
authors.initials: D
authors.lastname: Cheung
authors.forename: Pui-Yee
authors.initials: PY
authors.lastname: Fong
authors.forename: Ian
authors.initials: I
authors.lastname: Melhado
authors.forename: Pak C
authors.initials: PC
authors.lastname: Sham
mesh_terms: 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