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Efficient and Accurate Clustering for Large-Scale Genetic Mapping Veronika Strnadov´a∗,† , Aydın Buluc¸† , Jarrod Chapman[ , John R. Gilbert∗ Joseph Gonzalez‡ , Stefanie Jegelka‡ , Daniel Rokhsar[,¶ , Leo
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Document Date: 2014-10-16 16:14:06


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New York / San Diego / Lincoln / /

Company

General Electric / LG / Oracle / Ericsson / Google / Facebook / Cisco / Lawrence Berkeley National Laboratory / NetApp / AMD / Samsung / VMware / Yahoo! / Intel / Microsoft / /

Country

United States / /

Currency

pence / /

Event

Product Issues / Product Recall / /

Facility

Plant Journal / Lawrence Berkeley National Laboratory / U.S. DOE Joint Genome Institute / Joint Genome Institute / University of California / /

IndustryTerm

minimum-spanning tree finding algorithm / genetic marker clustering tools / genome sequencing technologies / inner product / genetic mapping algorithms / software tools / quad-core server / linkage / genetic mapping tools / generic clustering algorithms / computational tools / food / slow clustering algorithms / heuristic algorithms / linkage groups / diverse applications / Web Services / /

MarketIndex

case 65 / /

OperatingSystem

Microsoft Windows / /

Organization

Joint Genome Institute / U.S. Department of Energy / National Science Foundation / University of California / Santa Barbara / University of California / Berkeley / U.S. Securities and Exchange Commission / Computer Science Department / office of Science / Computational Research Division / U.S. DOE Joint Genome Institute / /

Person

Stefanie Jegelka / Nicholas Tinker / Jarrod Chapman / Joseph Gonzalez / John R. Gilbert / Daniel Rokhsar / Veronika Strnadov / Leonid Oliker / /

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Position

representative / /

Product

ncomp / Barley 64K / Core 2 Duo processors / Core 2 Duo / /

ProgrammingLanguage

R / C / C++ / /

ProvinceOrState

New York / California / /

PublishedMedium

PLoS Genetics / Nature Reviews Genetics / The Plant Journal / Theory of Computing / /

Technology

genomics / Bioinformatics / prohibitively slow clustering algorithms / slow genetic mapping algorithms / generic clustering algorithms / genotyping / human genome / 2 Duo processors / use algorithms / density-based algorithm / Sequencing technologies / genetic linkage groups Algorithm / CURE algorithm / genome sequencing technologies / SNP / Simulation / genotype / minimum-spanning tree finding algorithm / recombination / 8378 Processors / /

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