Bio2BEL

Bio2BEL converts and harmonizes diverse biological data sources into the Biological Expression Language (BEL) to enable integrated systems biology and network medicine analyses.

Key Features:

• BEL-based representation: Represents biological entities and relationships using the Biological Expression Language (BEL).
• Modular Python packages: Implements multiple independent Python packages for data retrieval and processing.
• Data acquisition and processing: Downloads, structures, and serializes diverse biological data into BEL format.
• Multiscale and multimodal support: Handles heterogeneous, multiscale, and multimodal knowledge across biological domains.
• Pathway mapping and curation support: Produces structured BEL representations to aid curation and mapping of biological pathways.
• Pathway database integration: Enables integration of multiple pathway databases into unified BEL networks.
• Machine learning readiness: Generates structured BEL-formatted datasets suitable as inputs for machine learning analyses.

Scientific Applications:

• Curation of Pathway Mappings: Supports curation and refinement of pathway mappings by providing consistent BEL representations.
• Integration of Pathway Databases: Facilitates combining pathway databases to create comprehensive pathway and interaction networks.
• Machine Learning Applications: Supplies structured BEL datasets for machine learning methods to analyze biological systems.

Methodology:

Uses independent Python packages to download, structure, and serialize diverse biological data into BEL format.