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.