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Related Experiment Video

Updated: Jun 16, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
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Published on: February 8, 2017

SBRML: a markup language for associating systems biology data with models.

Joseph O Dada1, Irena Spasić, Norman W Paton

  • 1Manchester Centre for Integrative Systems Biology, Manchester Interdisciplinary Biocentre, The University of Manchester, 131 Princess Street, Manchester M1 7DN, UK.

Bioinformatics (Oxford, England)
|February 24, 2010
PubMed
Summary

A new standard, Systems Biology Results Markup Language (SBRML), links systems biology models with experimental datasets. This enables better data analysis, parameter estimation, and simulation archiving.

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Area of Science:

  • Systems Biology
  • Computational Biology
  • Bioinformatics

Background:

  • Systems biology research integrates experimental data with computational models.
  • Existing standards like Systems Biology Markup Language (SBML) address model representation, but lack a way to link models to datasets.
  • This gap hinders model-driven analysis and data contextualization.

Purpose of the Study:

  • To introduce a new data standard for associating systems biology models with their corresponding experimental datasets.
  • To facilitate the representation of computational simulation results and the contextualization of experimental data within models.

Main Methods:

  • Development of the Systems Biology Results Markup Language (SBRML), an XML-based standard.
  • SBRML associates models with datasets, representing results as values linked to model variables and parameters.
  • The standard supports flexible data indexing for spreadsheet-like and multidimensional data.

Main Results:

  • SBRML enables the association of models with multiple datasets.
  • It provides a flexible framework for indexing simulation results against model parameters.
  • Examples demonstrate SBRML's utility in enzyme kinetics, gene expression, and simulation analysis.

Conclusions:

  • SBRML addresses the need for a standard to link systems biology models and datasets.
  • This standard supports advanced applications like model-driven data analysis and simulation archiving.
  • The SBRML XML Schema is publicly available for implementation.