Fast and accurate estimation of the population-scaled mutation rate, theta, from microsatellite genotype data.

Fast and accurate estimation of the population-scaled mutation rate, theta, from microsatellite genotype data. Research Abstract Details 

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Fast and accurate estimation of the population-scaled mutation rate, theta, from microsatellite genotype data. Abstract Text:

Arindam Roychoudhury,Matthew Stephens,Arindam Roychoudhury,Matthew Stephens,

We present a new approach for estimation of the population-scaled mutation rate, , from microsatellite genotype data, using the recently introduced "product of approximate conditionals" framework. Comparisons with other methods on simulated data demonstrate that this new approach is attractive in terms of both accuracy and speed of computation. Our simulation experiments also demonstrate that, despite the theoretical advantages of full-likelihood-based methods, methods based on certain summary statistics (specifically, the sample homozygosity) can perform very competitively in practice.

Fast and accurate estimation of the population-scaled mutation rate, theta, from microsatellite genotype data. Publishing Authors By Initials

A Roychoudhury,M Stephens,A Roychoudhury,M Stephens,

For similar genetic phenomena: variation (genetics) research abstracts see: genetic phenomena: variation (genetics) research

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Fast and accurate estimation of the population-scaled mutation rate, theta, from microsatellite genotype data. Journal Published:

PUBLICATION TYPE: Research Support, N.I.H., Extr

Journal: Genetics

VOLUME: 176

Page Numbers: 1363-6

Journal Abbreviation: Genetics

ISSN: 0016-6731

DAY: 3

MONTH: Jun

YEAR: 2007

Fast and accurate estimation of the population-scaled mutation rate, theta, from microsatellite genotype data. Information

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LANGUAGE: eng

NlmUniqueID: 374636

Fast and accurate estimation of the population-scaled mutation rate, theta, from microsatellite genotype data. Keywords Mesh Terms:

KEYWORDS: Variation (Genetics)

MESH TERMS: genetics

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Grant and Affiliation Information for Fast and accurate estimation of the population-scaled mutation rate, theta, from microsatellite genotype data.

AFFILIATION: Department of Statistics, University of Washington, Seattle, Washington 98195-4322, USA. aroy@fas.harvard.edu

Country: United States

AGENCY: United States NHGRI

GRANT: HG/LM02585

ACRONYM: HG

MEDLINETA: Genetics

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