P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in R.

P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in R. Research Abstract Details 

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P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in R. Abstract Text:

Thomas Hoffmann,Christoph Lange,

The software tool P2BAT provides a massive parallel and user friendly implementation of the PBAT-analysis tools for family-based association tests (FBATs) in large-scale studies, including genome-wide association studies with several thousand subjects. Built on the original PBAT-implementation of the Lange-Van Steen algorithm to bypass the multiple testing problem in family-based association studies, P2BAT integrates all PBAT-analysis tools for binary and complex traits into R and makes them accessible through a user-friendly GUI. The genome-wide analysis tools are fully automated and can be ran massively parallel directly through the GUI. P2BAT is fully documented and contains graphical output tools for time-to-onset analysis. P2BAT also features the ability to test for gene and environment/drug interaction. AVAILABILITY: The P2BAT package is available as the R package 'pbatR' which can be downloaded from http://cran.r-project.org/. The PBAT-software is available at http://www.biostat.harvard.edu/~clange/.

P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in R. Publishing Authors By Initials

T Hoffmann,C Lange,

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P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in R. Journal Published:

PUBLICATION TYPE: Research Support, Non-U.S. Gov

Journal: Bioinformatics (Oxford, England)

VOLUME: 22

Page Numbers: 3103-5

Journal Abbreviation: Bioinformatics

ISSN: 1460-2059

DAY: 4

MONTH: 10

YEAR: 2006

P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in R. Information

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LANGUAGE: eng

NlmUniqueID: 9808944

P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in R. Keywords Mesh Terms:

KEYWORDS: User-Computer Interface

MESH TERMS: genetics

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Grant and Affiliation Information for P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in R.

AFFILIATION: Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA. thoffman@hsph.harvard.edu

Country: England

AGENCY: United States NIMH

GRANT: MH17119

ACRONYM: MH

MEDLINETA: Bioinformatics

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