Quick Start#
The general framework for LipiNet follows a simple three-stage process for building and exploring lipid-centric knowledge networks:
Parse and standardize datasets - Import lipid-related information from key biochemical resources such as SwissLipids, Rhea, and Reactome. These data are cleaned, harmonized, and converted into graph-ready formats.
Explore and analyse the data - Investigate parsed data to understand lipid classes, biochemical reactions, and molecular relationships. This step includes generating network representations and basic analyses to reveal structure and connectivity.
Integrate and extend the network - Combining multiple parsed sources into a single unified lipid knowledge graph, enabling cross-database queries, pathway-level insights, and advanced visualisations for downstream analyses.
