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Thomas J. Hoffmann

dblp:124/0492 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2006
0000-0001-6893-4449ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › statistical genetics › genetic association study
family-based association test
0.112006
P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in R · Bioinform. 2006
Bioinformatics and computational biology › statistical genetics
genetic association study
0.112006
P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in R · Bioinform. 2006
Parallel and multicore computing › parallel computing › parallel bioinformatics
parallelization of bioinformatics tools
0.012006
P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in R · Bioinform. 2006
Parallel and multicore computing
parallel programming models
0.012006
P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in R · Bioinform. 2006

Methods — techniques the papers use, named apart from their topics

parallel computing · 0.1lange-van steen algorithm · 0.1
YearPublicationVenuePosition
2006 P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in R
abstract
UNLABELLED: 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/.
Thomas J. Hoffmann, Christoph Lange 0003
Bioinform.1