EvoBIO '09 Proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
A Software Tool for the Simulation and Optimization of Dynamic Metabolic Models
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Design and Architecture of Web Services for Simulation of Biochemical Systems
DILS '09 Proceedings of the 6th International Workshop on Data Integration in the Life Sciences
Stability analysis of biological network topologies during stochastic simulation
Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques
SIAM Journal on Scientific Computing
Snoopy --- a unifying petri net tool
PETRI NETS'12 Proceedings of the 33rd international conference on Application and Theory of Petri Nets
PathCase-SB: database-enabled tools for regulatory metabolic networks
ACM SIGBioinformatics Record
PathCase-MAW: An Online Metabolic Network Analysis Workbench
Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics
Python to accelerate embedded SoC design: A case study for systems biology
ACM Transactions on Embedded Computing Systems (TECS)
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Summary: LibSBML is an application programming interface library for reading, writing, manipulating and validating content expressed in the Systems Biology Markup Language (SBML) format. It is written in ISO C and C++, provides language bindings for Common Lisp, Java, Python, Perl, MATLAB and Octave, and includes many features that facilitate adoption and use of both SBML and the library. Developers can embed libSBML in their applications, saving themselves the work of implementing their own SBML parsing, manipulation and validation software. Availability: LibSBML 3 was released in August 2007. Source code, binaries and documentation are freely available under LGPL open-source terms from http://sbml.org/software/libsbml. Contact: sbml-team@caltech.edu