Title | ||
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Exploiting large scale computing to construct high resolution linkage disequilibrium maps of the human genome. |
Abstract | ||
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Linkage disequilibrium (LD) maps increase power and precision in association mapping, define optimal marker spacing and identify recombination hot-spots and regions influenced by natural selection. Phase II of HapMap provides approximately 2.8-fold more single nucleotide polymorphisms (SNPs) than phase I for constructing higher resolution maps. LDMAP-cluster, is a parallel program for rapid map construction in a Linux environment used here to construct genome-wide LD maps with >8.2 million SNPs from the phase II data.The LD maps, LDMAP-cluster and documentation are available from: http://www.som.soton.ac.uk/research/geneticsdiv/epidemiology/LDMAP.Supplementary data are available at Bioinformatics online. |
Year | DOI | Venue |
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2007 | 10.1093/bioinformatics/btl615 | Bioinformatics |
Keywords | Field | DocType |
human genome,supplementary data,linux environment,phase ii,million snps,ldmap contact,uk supplementary information,bioinformatics online,association mapping,maps increase power,phase ii data,high resolution linkage disequilibrium,large scale computing,high resolution,polymorphism,natural selection,linkage disequilibrium,hot spot | Association mapping,Linkage disequilibrium,Computer science,International HapMap Project,Natural selection,Tag SNP,Single-nucleotide polymorphism,Human genome,Bioinformatics | Journal |
Volume | Issue | ISSN |
23 | 4 | 1367-4811 |
Citations | PageRank | References |
1 | 0.43 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Winston Lau | 1 | 1 | 0.43 |
Tai-Yue Kuo | 2 | 1 | 0.43 |
W Tapper | 3 | 1 | 0.77 |
Simon J. Cox | 4 | 289 | 37.84 |
Andrew Collins | 5 | 16 | 1.85 |