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http://hdl.handle.net/10119/8529
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Title: | A Double Classification Tree Search Algorithm for Index SNP Selection |
Authors: | Zhang, Peisen Sheng, Huitao Uehara, Ryuhei |
Issue Date: | 2004-07-06 |
Publisher: | BioMed Central Ltd. |
Magazine name: | BMC Bioinformatics |
Volume: | 5 |
Number: | article no.89 |
DOI: | 10.1186/1471-2105-5-89 |
Abstract: | Background: In population-based studies, it is generally recognized that single nucleotide polymorphism (SNP) markers are not independent. Rather, they are carried by haplotypes, groups of SNPs that tend to be coinherited. It is thus possible to choose a much smaller number of SNPs to use as indices for identifying haplotypes or haplotype blocks in genetic association studies. We refer to these characteristic SNPs as index SNPs. In order to reduce costs and work, a minimum number of index SNPs that can distinguish all SNP and haplotype patterns should be chosen. Unfortunately, this is an NP-complete problem, requiring brute force algorithms that are not feasible for large data sets. Results: We have developed a double classification tree search algorithm to generate index SNPs that can distinguish all SNP and haplotype patterns. This algorithm runs very rapidly and generates very good, though not necessarily minimum, sets of index SNPs, as is to be expected for such NPcomplete problems. Conclusions: A new algorithm for index SNP selection has been developed. A webserver for index SNP selection is available at http://cognia.cu-genome.org/cgi-bin/genome/snpIndex.cgi/ |
Rights: | BMC Bioinformatics 2004, 5:89 doi:10.1186/1471-2105-5-89 This article is available from: http://www.biomedcentral.com/1471-2105/5/89 c 2004 Zhang et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. |
URI: | http://hdl.handle.net/10119/8529 |
Material Type: | publisher |
Appears in Collections: | b10-1. 雑誌掲載論文 (Journal Articles)
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