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BioModels.net Web Services, a free and integrated toolkit for computational modelling software.

Chen Li1, Mélanie Courtot, Nicolas Le Novère

  • 1Computational Neurobiology Group, at the European Bioinformatics Institute, Hinxton, UK.

Briefings in Bioinformatics
|November 27, 2009
PubMed
Summary

Researchers can now easily access and analyze computational biology models using BioModels.net's standardized annotations and web services, facilitating systems biology research.

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Area of Science:

  • Computational biology
  • Systems biology
  • Bioinformatics

Background:

  • Sharing and exchanging scientific results are crucial for computational modeling research.
  • Standardized model curation is essential for reproducible research.
  • Existing resources lacked comprehensive programmatic access for model analysis.

Purpose of the Study:

  • To present the BioModels.net resources and their integrated web services.
  • To facilitate the programmatic access and analysis of curated biological models.
  • To support the adoption of standards like MIRIAM and SBO in systems biology.

Main Methods:

  • Development of MIRIAM Resources for standardized model annotation.
  • Creation of Systems Biology Ontology (SBO) for controlled vocabularies.
  • Implementation of BioModels Database for model storage and retrieval.
  • Provision of Web Services utilizing SOAP and WSDL for programmatic access.

Main Results:

  • BioModels.net offers a centralized database and standardized annotation system.
  • Web services enable remote querying, model retrieval, and annotation resolution.
  • Integration of MIRIAM annotations and SBO terms enhances model understanding.
  • Provided libraries simplify client software development for accessing resources.

Conclusions:

  • BioModels.net Web Services significantly advance researchers' ability to simulate and understand biological systems.
  • Programmatic access allows for model integration into workflows and efficient analysis.
  • Standardization through MIRIAM and SBO promotes data interoperability and research reproducibility.