JSBML 1.1
JSBML 1.1 provides a pure Java library for working with the Systems Biology Markup Language (SBML) to enable computational model exchange and representation of diverse biological models in systems biology.
Key Features:
- Pure Java implementation: Implemented entirely in Java and avoids native object code.
- SBML support: Operates on the Systems Biology Markup Language (SBML) standard for computational models.
- libSBML API emulation: Emulates the API of libSBML to support compatibility with existing SBML-based workflows.
- Idiomatic Java API: Adopts Java-specific programming practices for integration into Java applications.
- SBML extensions support: Supports various extensions to the SBML format for enhanced model representation and exchangeability.
- Standards compatibility: Maintains compatibility with SBML standards to facilitate interoperability.
Scientific Applications:
- Model exchange and interoperability: Enables exchange of SBML-encoded computational models between different software tools.
- Representation of diverse modeling formalisms: Supports encoding of different biological model types via SBML extensions.
- Integration into Java-based workflows: Provides programmatic access to SBML models for incorporation into Java-based analysis and computational pipelines.
Methodology:
Implemented in pure Java; emulates the libSBML API; avoids native object code; supports SBML and its extensions while maintaining compatibility with SBML standards.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Data handling
Publications
Rodriguez N, Thomas A, Watanabe L, Vazirabad IY, Kofia V, Gómez HF, Mittag F, Matthes J, Rudolph J, Wrzodek F, Netz E, Diamantikos A, Eichner J, Keller R, Wrzodek C, Fröhlich S, Lewis NE, Myers CJ, Le Novère N, Palsson BØ, Hucka M, Dräger A. JSBML 1.0: providing a smorgasbord of options to encode systems biology models. Bioinformatics. 2015;31(20):3383-3386. doi:10.1093/bioinformatics/btv341. PMID:26079347. PMCID:PMC4595895.