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MathSBML: a package for manipulating SBML-based biological models
- Source :
- Bioinformatics. 20:2829-2831
- Publication Year :
- 2004
- Publisher :
- Oxford University Press (OUP), 2004.
-
Abstract
- Summary: MathSBML is a Mathematica package designed for manipulating Systems Biology Markup Language (SBML) models. It converts SBML models into Mathematica data structures and provides a platform for manipulating and evaluating these models. Once a model is read by MathSBML, it is fully compatible with standard Mathematica functions such as NDSolve (a differential-algebraic equations solver). MathSBML also provides an application programming interface for viewing, manipulating, running numerical simulations; exporting SBML models; and converting SBML models in to other formats, such as XPP, HTML and FORTRAN. By accessing the full breadth of Mathematica functionality, MathSBML is fully extensible to SBML models of any size or complexity. Availability: Open Source (LGPL) at http://www.sbml.org and http://www.sf.net/projects/sbml. Supplementary information: Extensive online documentation is available at http://www.sbml.org/mathsbml.html. Additional examples are provided at http://www.sbml.org/software/mathsbml/bioinformatics-application-note
- Subjects :
- Statistics and Probability
Markup language
Computer science
Information Storage and Retrieval
computer.software_genre
Models, Biological
Biochemistry
Article
Cell Physiological Phenomena
Software
ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION
Systems Biology Ontology
Computer Science::Symbolic Computation
Computer Simulation
SBML
GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Molecular Biology
Database
Application programming interface
Programming language
business.industry
Quantitative Biology::Molecular Networks
Systems Biology
Data structure
Computer Science Applications
Computational Mathematics
Computational Theory and Mathematics
Computer Science::Mathematical Software
Database Management Systems
business
computer
Subjects
Details
- ISSN :
- 13674811 and 13674803
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Bioinformatics
- Accession number :
- edsair.doi.dedup.....51acf03bc31e52d9a3e31447c7ba3b28
- Full Text :
- https://doi.org/10.1093/bioinformatics/bth271