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Related Experiment Video

Updated: Feb 28, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
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Data management and data enrichment for systems biology projects.

Ulrike Wittig1, Maja Rey1, Andreas Weidemann1

  • 1Scientific Databases and Visualization Group, Heidelberg Institute for Theoretical Studies (HITS gGmbH), Schloss-Wolfsbrunnenweg 35, 69118 Heidelberg, Germany.

Journal of Biotechnology
|June 14, 2017
PubMed
Summary

de.NBI-SysBio enhances systems biology research by managing high-quality data using FAIR principles. Three tools (SABIO-RK, Excemplify, SEEK) facilitate FAIR data, models, and methods exchange, supporting the FAIRDOM initiative.

Keywords:
Data managementFAIRReaction kineticsSABIO-RKSEEKSystems biology

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Area of Science:

  • Systems Biology
  • Bioinformatics Infrastructure
  • Data Management

Background:

  • de.NBI-SysBio, part of the German Network for Bioinformatics Infrastructure (de.NBI), focuses on data management for systems biology.
  • The center adheres to the FAIR principles (Findability, Accessibility, Interoperability, Reusability) for scientific data stewardship.
  • FAIR principles aim to improve machine-driven data discovery, access, exchange, and utilization.

Purpose of the Study:

  • To present three de.NBI-SysBio tools: SABIO-RK, Excemplify, and SEEK.
  • To demonstrate how these tools contribute to FAIR data, model, and experimental method management.
  • To explain the interconnectedness of these tools and their role in systems biology data workflows.

Main Methods:

  • Description of the SABIO-RK, Excemplify, and SEEK tools.
  • Explanation of data workflows within systems biology projects.
  • Highlighting the integration with the FAIRDOM initiative for European data management.

Main Results:

  • SABIO-RK, Excemplify, and SEEK exemplify de.NBI-SysBio's commitment to FAIR data principles.
  • The tools facilitate the storage and exchange of systems biology data, models, and experimental methods.
  • Interconnectivity of tools supports efficient data workflows.

Conclusions:

  • de.NBI-SysBio provides essential services for FAIR data management in systems biology.
  • The described tools enhance data sharing and interoperability.
  • Continued partnership with FAIRDOM supports European systems biology data infrastructure.