Winston Lau

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1ranked-venue papers

1as first author

0since 2021 · last 2007

0000-0001-5501-4619ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing 1 paper		Bioinformatics and computational biology · 100%
Computer architecture, parallel and distributed computing, and storage systems 1 paper		Parallel and multicore computing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Bioinformatics and computational biology › statistical genetics › genetic mapping linkage disequilibrium mapping	0.1	1	2007	Exploiting large scale computing to construct high resolution linkage disequilibrium maps of the human genome · Bioinform. 2007
Bioinformatics and computational biology population genetics	0.1	1	2007	Exploiting large scale computing to construct high resolution linkage disequilibrium maps of the human genome · Bioinform. 2007
Parallel and multicore computing parallel computing	0.1	1	2007	Exploiting large scale computing to construct high resolution linkage disequilibrium maps of the human genome · Bioinform. 2007

Methods — techniques the papers use, named apart from their topics

parallel computing · 0.1

Year	Publication	Venue	Position
2007	Exploiting large scale computing to construct high resolution linkage disequilibrium maps of the human genome abstract UNLABELLED: 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. Winston Lau, Tai-Yue Kuo, William Tapper, Simon J. Cox 0001, Andrew Collins 0001	Bioinform.	1