Journal
BIOINFORMATICS
Volume 27, Issue 7, Pages 1028-1029Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btr038
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Funding
- Excellence Initiative of the German Federal and State Governments [EXC 294]
- BMBF - Freiburg Initiative in Systems Biology [0313921]
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Parameter estimation is crucial for the modeling and dynamic analysis of biological systems. However, implementing parameter estimation is time consuming and computationally demanding. Here, we introduced a parallel parameter estimation tool for Systems Biology Markup Language (SBML)-based models (SBML-PET-MPI). SBML-PET-MPI allows the user to perform parameter estimation and parameter uncertainty analysis by collectively fitting multiple experimental datasets. The tool is developed and parallelized using the message passing interface (MPI) protocol, which provides good scalability with the number of processors.
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