Exploiting large scale computing to construct high resolution linkage disequilibrium maps of the human genome
Exploiting large scale computing to construct high resolution linkage disequilibrium maps of the human genome
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. Availability: The LD maps, LDMAP-cluster and documentation are available from: http://www.som.soton.ac.uk/research/geneticsdiv/epidemiology/LDMAP. Supplementary information: Supplementary data are available at Bioinformatics online.
humans, human, computing methodologies, genetic markers, genetics, sensitivity and specificity, environment, genome, software, population, linkage disequilibrium, cluster analysis, chromosome mapping, research support, research, methods, algorithms
517-519
Lau, Winston
2ae746d0-c61c-449f-b447-a95e9f3f7503
Kuo, Tai-Yue
862be417-73e0-4d28-9bd5-bc83242a9192
Tapper, William
9d5ddc92-a8dd-4c78-ac67-c5867b62724c
Cox, Simon
4fe1de98-4843-4d45-9143-3369b6b9a241
Collins, Andrew
7daa83eb-0b21-43b2-af1a-e38fb36e2a64
15 February 2007
Lau, Winston
2ae746d0-c61c-449f-b447-a95e9f3f7503
Kuo, Tai-Yue
862be417-73e0-4d28-9bd5-bc83242a9192
Tapper, William
9d5ddc92-a8dd-4c78-ac67-c5867b62724c
Cox, Simon
4fe1de98-4843-4d45-9143-3369b6b9a241
Collins, Andrew
7daa83eb-0b21-43b2-af1a-e38fb36e2a64
Lau, Winston, Kuo, Tai-Yue, Tapper, William, Cox, Simon and Collins, Andrew
(2007)
Exploiting large scale computing to construct high resolution linkage disequilibrium maps of the human genome.
BMC Bioinformatics, 23 (4), .
(doi:10.1093/bioinformatics/btl615).
Abstract
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. Availability: The LD maps, LDMAP-cluster and documentation are available from: http://www.som.soton.ac.uk/research/geneticsdiv/epidemiology/LDMAP. Supplementary information: Supplementary data are available at Bioinformatics online.
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Published date: 15 February 2007
Keywords:
humans, human, computing methodologies, genetic markers, genetics, sensitivity and specificity, environment, genome, software, population, linkage disequilibrium, cluster analysis, chromosome mapping, research support, research, methods, algorithms
Identifiers
Local EPrints ID: 59967
URI: http://eprints.soton.ac.uk/id/eprint/59967
ISSN: 1471-2105
PURE UUID: 134552d9-b06d-434c-8b4e-867785c99edd
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Date deposited: 02 Sep 2008
Last modified: 16 Mar 2024 03:07
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Contributors
Author:
Winston Lau
Author:
Tai-Yue Kuo
Author:
Simon Cox
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