dChipSNP: significance curve and clustering of SNP-array-based loss-of-heterozygosity data | Zendy

Ming Gang Lin | Zendy; L. J. Wei | Zendy; William R. Sellers | Zendy; Marshall E Lieberfarb | Zendy; Wing Hung Wong | Zendy; Cheng Li | Zendy

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dChipSNP: significance curve and clustering of SNP-array-based loss-of-heterozygosity data

Author(s) -

Ming Gang Lin,

L. J. Wei,

William R. Sellers,

Marshall E Lieberfarb,

Wing Hung Wong,

Cheng Li

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bth069

Subject(s) - loss of heterozygosity , cluster analysis , snp , snp array , genetics , computational biology , computer science , biology , statistics , mathematics , single nucleotide polymorphism , allele , genotype , gene

Oligonucleotide microarrays allow genotyping of thousands of single-nucleotide polymorphisms (SNPs) in parallel. Recently, this technology has been applied to loss-of-heterozygosity (LOH) analysis of paired normal and tumor samples. However, methods and software for analyzing such data are not fully developed.

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