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

Resources, standards and tools for systems biology.

Christoph Wierling1, Ralf Herwig, Hans Lehrach

  • 1Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany. wierling@molgen.mpg.de

Briefings in Functional Genomics & Proteomics
|October 19, 2007
PubMed
Summary

Integrative systems biology uses computational modelling and simulation. This review covers essential data resources, standards, and tools for building accurate biological models from diverse inputs.

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Area of Science:

  • Computational biology
  • Systems biology
  • Bioinformatics

Background:

  • Modelling and simulation are crucial for understanding complex biological systems.
  • Designing computational models requires diverse inputs like topology, kinetics, and experimental data.
  • Data can be sourced from literature, databases, or direct experiments.

Purpose of the Study:

  • To review data resources, standards, and tools for integrative systems biology.
  • To provide a guide for researchers designing and implementing biological models.

Main Methods:

  • Literature review of existing data resources.
  • Survey of current modelling and simulation standards.
  • Identification of relevant software tools for systems biology.

Main Results:

  • Compilation of key data repositories relevant to biological modelling.
  • Overview of established and emerging standards in biological data representation.
  • Categorization of simulation tools applicable to integrative systems biology.

Conclusions:

  • Effective biological modelling relies on accessible data and standardized formats.
  • A range of computational tools are available to support integrative systems biology research.
  • This review serves as a resource for navigating the landscape of biological modelling tools and data.