Demo Data from EDBT 2026 / reviewers in the wild / expert
Thomas J. Hoffmann
dblp:124/0492
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › statistical genetics › genetic association study
family-based association test |
0.1 | 1 | 2006 | 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 |
0.1 | 1 | 2006 | 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 |
0.0 | 1 | 2006 | P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in R · Bioinform. 2006 |
Parallel and multicore computing
parallel programming models |
0.0 | 1 | 2006 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in RabstractUNLABELLED: 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 |