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Bioinformatics / Normal distribution / Mode / Pareto distribution / Viterbi algorithm / Markov chain / Hidden Markov model / HMMER / Statistics / Markov models / Probability and statistics


Austrian Marshall Plan Foundation Research Report Efficient estimation of p-values for HMModeller Supervisor:
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Document Date: 2011-07-20 20:12:40

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File Size: 739,90 KB

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Company

Qas / The Mathworks Inc. / HP / MySQL / Intel / /

Facility

Salzburg University / Systems Management Salzburg University of Applied Sciences / Salzburg University of Applied Sciences / University of Salzburg / /

IndustryTerm

performance computing / chain algorithm / computing / /

MarketIndex

case 95 / /

OperatingSystem

Rocks Cluster / /

Organization

Information Technology & Systems Management Salzburg University of Applied Sciences / Department of Molecular Biology / Salzburg University / Department of Information Technology / Salzburg University of Applied Sciences / University of Salzburg / /

Person

ASTRAL SCOP / Stefan Wegenkittl Samuel / Samuel S. Shepard / Simple / /

Position

HMModeller Supervisor / mP / researcher / general distribution tail / null model / general distribution sample sizes / Marshall / /

ProgrammingLanguage

Perl / MATLAB / Java / L / Python / /

PublishedMedium

Molecular Biology / /

Technology

RAM / 4 processors / Java / Viterbi algorithm / Information Technology / Perl / Markov chain algorithm / /

URL

www.mathworks.com / /

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