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R. Rehner

dblp:04/3222 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · none

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.

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 › biochemical reaction network modeling
biochemical network simulation
0.012003
Modular Modeling of Cellular Systems with ProMoT/Diva · Bioinform. 2003
Bioinformatics and computational biology › systems biology › computational cell biology
cellular modeling
0.012003
Modular Modeling of Cellular Systems with ProMoT/Diva · Bioinform. 2003
Bioinformatics and computational biology
systems biology
0.012003
Modular Modeling of Cellular Systems with ProMoT/Diva · Bioinform. 2003

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

parameter identification · 0.0numerical simulation · 0.0
YearPublicationVenuePosition
2003 Modular Modeling of Cellular Systems with ProMoT/Diva
abstract
MOTIVATION: Need for software to setup and analyze complex mathematical models for cellular systems in a modular way, that also integrates the experimental environment of the cells. RESULTS: A computer framework is described which allows the building of modularly structured models using an abstract, modular and general modeling methodology. With this methodology, reusable modeling entities are introduced which lead to the development of a modeling library within the modeling tool ProMot. The simulation environment Diva is used for numerical analysis and parameter identification of the models. The simulation environment provides a number of tools and algorithms to simulate and analyze complex biochemical networks. The described tools are the first steps towards an integrated computer-based modeling, simulation and visualization environment Availability: Available on request to the authors. The software itself is free for scientific purposes but requires commercial libraries. SUPPLEMENTARY INFORMATION: http://www.mpi-magdeburg.mpg.de/projects/promot
Martin Ginkel, Andreas Kremling, Torsten Nutsch, R. Rehner, Ernst Dieter Gilles
Bioinform.4