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VLDB 2026 Research / reviewers in the wild / expert

Andrew H. A. Clayton

dblp:176/9802 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
0000-0002-6182-3049ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1

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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 50% Cloud and datacenter computing · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › systems biology
parameter estimation		 0.212016
BioNetFit: a fitting tool compatible with BioNetGen, NFsim and distributed computing environments · Bioinform. 2016
Cloud and datacenter computing › cluster resource management and scheduling
cluster scheduling		 0.212016
BioNetFit: a fitting tool compatible with BioNetGen, NFsim and distributed computing environments · Bioinform. 2016
High-performance computing › scientific computing
distributed scientific computing		 0.212016
BioNetFit: a fitting tool compatible with BioNetGen, NFsim and distributed computing environments · Bioinform. 2016

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

rule-based simulation · 0.5parameter optimization · 0.5
YearPublicationVenuePosition
2016 BioNetFit: a fitting tool compatible with BioNetGen, NFsim and distributed computing environments
abstract
UNLABELLED: Rule-based models are analyzed with specialized simulators, such as those provided by the BioNetGen and NFsim open-source software packages. Here, we present BioNetFit, a general-purpose fitting tool that is compatible with BioNetGen and NFsim. BioNetFit is designed to take advantage of distributed computing resources. This feature facilitates fitting (i.e. optimization of parameter values for consistency with data) when simulations are computationally expensive. AVAILABILITY AND IMPLEMENTATION: BioNetFit can be used on stand-alone Mac, Windows/Cygwin, and Linux platforms and on Linux-based clusters running SLURM, Torque/PBS, or SGE. The BioNetFit source code (Perl) is freely available (http://bionetfit.nau.edu). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. CONTACT: [email protected].
Brandon R. Thomas, Lily A. Chylek, Joshua Colvin, Suman Sirimulla, Andrew H. A. Clayton, William S. Hlavacek, Richard G. Posner
 Bioinform.5