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KBase: Open-source Platform for Collaborative Biological Data Analysis and Publication.

Elisha M Wood-Charlson1, Christopher Henry2, Paramvir Dehal1

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Summary
This summary is machine-generated.

The Systems Biology Knowledgebase (KBase) is an expanded, collaborative platform for systems biology research. It now offers multi-omics integration, scalable modeling, and reproducible digital notebooks to advance scientific discovery.

Keywords:
biodesignmicrobiomesplant–microbe interactionspredictive functionsystems biology

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Area of Science:

  • Systems biology
  • Computational biology
  • Environmental science

Background:

  • The U.S. Department of Energy's Systems Biology Knowledgebase (KBase) provides an integrated platform for biological research.
  • KBase has recently evolved into a comprehensive, multi-omics ecosystem.

Purpose of the Study:

  • To describe the expansion of KBase as a multi-omics ecosystem.
  • To highlight KBase's capabilities in data integration, scalable modeling, and reproducible research objects.
  • To position KBase as a hub for open, reproducible systems biology and future AI-driven discovery.

Main Methods:

  • Integration of diverse data types including long-read sequence data and protein structures.
  • Development of scalable modeling for microbial communities.
  • Generation of digital notebooks as citable, executable research objects.

Main Results:

  • KBase now supports multi-omics data representation and analysis.
  • Scalable modeling of microbial communities across various environments is enabled.
  • Citable and executable digital notebooks facilitate data, methods, and interpretation linkage.

Conclusions:

  • KBase serves as a central hub for open and reproducible systems biology.
  • The platform's advances support data federation, semantic interoperability, and agent-assisted analysis.
  • KBase is poised to support next-generation AI-driven discovery tools.