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Regression analysis / Genetic genealogy / Population genetics / Interpolation / Smoothing spline / Smoothing / Single-nucleotide polymorphism / Spline / Haplotype / Genetics / Statistics / Biology


Defining window-boundaries for genomic analyses using smoothing spline techniques
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City

Philadelphia / F ST / Vienna / /

Company

Ford / Computer Sciences / Creative Commons / Ge / Monsanto / Google / /

Country

United States / /

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Facility

Plant Sciences / University of Wisconsin-Madison Plant Breeding / University of Wisconsin Graduate School / University of California / University of Wisconsin / Weir BS / University of Wisconsin-Madison Center / /

IndustryTerm

statistical computing / described protocol / subsequent analysis protocols / online submission / /

MarketIndex

set 200 / /

NaturalFeature

Webster MT / /

OperatingSystem

Microsoft Windows / /

Organization

Department of Animal Sciences / U.S. Department of Energy’s office of Science / Open Science Grid / UWMadison / Center for High Throughput Computing / National Science Foundation / University of California / Davis / DOE Great Lakes Bioenergy Research Center / Foundation for Statistical Computing / University of Wisconsin Graduate School / Department of Energy Great Lakes Bioenergy Research Center / of Energy Great Lakes Bioenergy Research Center / Wisconsin Alumni Research Foundation / DOE office of Science BER DE-FC02-07ER64494 / University of Wisconsin / Madison / Department of Agronomy / Department of Plant Sciences / Department of Dairy Science / University of Wisconsin / Department of Computer Sciences / /

Person

Maynard Smith / Ann Hum / /

Position

author / Fisher RA / Fisher / representative / /

ProvinceOrState

Wisconsin / California / /

PublishedMedium

PLoS One / /

RadioStation

Tarone AM / Johansson AM / /

Technology

Genomics / Bioinformatics / sliding windows / subsequent analysis protocols / SNP / genotyping / simulation / recombination / human genome / previously described protocol / /

URL

http /

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