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Ursula Kummer

Researcher at Heidelberg University

Publications -  75
Citations -  7601

Ursula Kummer is an academic researcher from Heidelberg University. The author has contributed to research in topics: Systems biology & Signal transduction. The author has an hindex of 26, co-authored 72 publications receiving 6881 citations. Previous affiliations of Ursula Kummer include Interdisciplinary Center for Scientific Computing.

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Journal ArticleDOI

The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.

TL;DR: This work summarizes the Systems Biology Markup Language (SBML) Level 1, a free, open, XML-based format for representing biochemical reaction networks, a software-independent language for describing models common to research in many areas of computational biology.
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COPASI---a COmplex PAthway SImulator

TL;DR: COPASI is presented, a platform-independent and user-friendly biochemical simulator that offers several unique features, and numerical issues with these features are discussed; in particular, the criteria to switch between stochastic and deterministic simulation methods, hybrid deterministic-stochastic methods, and the importance of random number generator numerical resolution in Stochastic simulation.
Journal ArticleDOI

Advances and current challenges in calcium signaling

TL;DR: This review reflects on recent major advances in the understanding of Ca2+ signaling and covers emerging concepts and existing open questions that should be informative also for scientists that are currently entering this field of ever-increasing breath and impact.
Book ChapterDOI

Computational modeling of biochemical networks using COPASI.

TL;DR: Practical examples are described for steady-state and time-course simulations, stoichiometric analyses, parameter scanning, sensitivity analysis, global optimization, parameter estimation, and stochastic simulation.
Journal ArticleDOI

Transition from stochastic to deterministic behavior in calcium oscillations.

TL;DR: This work studies the transition from stochastic to deterministic behavior in a widely studied system, namely the signal transduction via calcium, especially calcium oscillations, and concludes that the attractive properties of a system, expressed, e.g., by the divergence of the system, are a good measure for determining which simulation algorithm is appropriate in terms of speed and realism.