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A Probabilistic Model of Local Sequence Alignment That Simplifies Statistical Significance Estimation Sean R. Eddy* Howard Hughes Medical Institute, Janelia Farm Research Campus, Ashburn, Virginia, United States of Ameri
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Document Date: 2014-09-02 13:41:13


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Ashburn / /

Company

Creative Commons / /

Currency

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Facility

Janelia Farm Research Campus / Columbia University / Eddy* Howard Hughes Medical Institute / /

IndustryTerm

homology search / search sensitivity / named algorithms / profile/profile search methods / sequence similarity search methods / unihit algorithm / search profile / positive solution / fundamental tool / configured search profile / position-specific profile scoring systems / position-independent scoring systems / homology search scores / grounded accounting / dynamic programming algorithms / similarity search / alignment algorithms / software package / profile search / search space / alignment algorithm / local and glocal algorithms / search algorithms / /

Organization

Columbia University / Simplifies Statistical Significance Estimation Sean R. Eddy* Howard Hughes Medical Institute / /

Person

Competing Interests / Eddy SR / R. Figure / Sean R. Eddy / Scores Follow Exponential / /

Position

expected Forward / author / log-odds Forward / original author / Editor / multihit local Forward / model of global alignment / previously problematic multihit Forward / Local Forward / powerful Forward / unihit Forward / PðxjRÞ PðxjRÞ The Forward / full probabilistic model of global alignment / null model / Forward / unihit local Forward / /

Product

M-16 / /

ProgrammingLanguage

Pascal / J / C / /

ProvinceOrState

Virginia / New Foundland and Labrador / /

PublishedMedium

PLoS Computational Biology / /

RadioStation

Core / /

Technology

local and glocal algorithms / scoring technology / differently named algorithms / dynamic programming algorithms / unihit algorithm / alignment algorithms / simulation / Smith/ Waterman alignment algorithm / MRI / /

URL

www.ploscompbiol.org / /

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