BioKC

BioKC enables collaborative curation and SBML-based annotation of systems biology models to integrate and standardize biomedical knowledge.


Key Features:

  • Standardized Data Model: Uses the Systems Biology Markup Language (SBML) to ensure interoperability and consistency of curated models.
  • Collaborative Curation Environment: Supports community-based, multi-contributor curation workflows for assembling and annotating models.
  • Separation of Model Building and Annotation: Decouples model curation from diagram editing to enable iterative and distributed annotation of models.
  • Enhanced Reviewing Features: Provides reviewing and validation mechanisms to support quality control of curated content.
  • Annotation Capabilities: Captures complex relationships among biological entities, pathways, and cells with richer annotations than text-oriented tools.

Scientific Applications:

  • Model Integration: Integrates diverse biomedical knowledge into standardized SBML models for systems biology analyses.
  • Literature Synthesis: Enables synthesis of findings from multiple studies through collaborative curation and iterative refinement of models.
  • Biological Relationship Exploration: Facilitates representation and exploration of relationships between molecules, pathways, and cellular functions.

Methodology:

Implements SBML as the standard data format, separates model curation from diagram editing, and supports distributed curation with concurrent contributions plus built-in reviewing and validation mechanisms.

Topics

Details

Tool Type:
api
Added:
1/18/2021
Last Updated:
2/4/2021

Operations

Publications

Vega C, Grouès V, Ostaszewski M, Schneider R, Satagopam V. BioKC: a collaborative platform for systems biology model curation and annotation. Unknown Journal. 2020. doi:10.1101/2020.10.01.322438.