StochKit2: software for discrete stochastic simulation of biochemical systems with events
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- Kevin R. Sanft
- Department of Computer Science, University of California Santa Barbara, Santa Barbara, CA 93106, USA
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- Sheng Wu
- Department of Computer Science, University of California Santa Barbara, Santa Barbara, CA 93106, USA
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- Min Roh
- Department of Computer Science, University of California Santa Barbara, Santa Barbara, CA 93106, USA
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- Jin Fu
- Department of Computer Science, University of California Santa Barbara, Santa Barbara, CA 93106, USA
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- Rone Kwei Lim
- Department of Computer Science, University of California Santa Barbara, Santa Barbara, CA 93106, USA
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- Linda R. Petzold
- Department of Computer Science, University of California Santa Barbara, Santa Barbara, CA 93106, USA
説明
<jats:title>Abstract</jats:title> <jats:p>Summary: StochKit2 is the first major upgrade of the popular StochKit stochastic simulation software package. StochKit2 provides highly efficient implementations of several variants of Gillespie's stochastic simulation algorithm (SSA), and tau-leaping with automatic step size selection. StochKit2 features include automatic selection of the optimal SSA method based on model properties, event handling, and automatic parallelism on multicore architectures. The underlying structure of the code has been completely updated to provide a flexible framework for extending its functionality.</jats:p> <jats:p>Availability: StochKit2 runs on Linux/Unix, Mac OS X and Windows. It is freely available under GPL version 3 and can be downloaded from http://sourceforge.net/projects/stochkit/.</jats:p> <jats:p>Contact: petzold@engineering.ucsb.edu</jats:p>
収録刊行物
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- Bioinformatics
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Bioinformatics 27 (17), 2457-2458, 2011-07-04
Oxford University Press (OUP)