Hi everyone!
I wanted to share a project I’ve been working on called BioNexus AMR (BioNexus 2026). It’s currently in the MVP stage and I’m looking for some initial feedback from the graph community.
The Problem
Tracking Antimicrobial Resistance (AMR) is a massive data headache. We are dealing with multidimensional relationships between:
Pathogen Strains (Genomic data)
Resistance Genes (Plasmids/Horizontal gene transfer)
Clinical Outcomes (Patient recovery vs. treatment failure)
Geospatial Spread (Ward clusters/ outbreaks)
I built the MVP on Neo4j because AMR is fundamentally a network problem. By using a property graph model, we can:
Trace Lineage: Visualize how resistance evolves across generations of bacteria.
Identify Super-spreaders: Use centrality algorithms to find which "nodes" (hospitals or regions) are hubs for specific resistance patterns.
Real-time Inference: Query O(1) relationships to see if a new patient’s strain matches known high-risk clusters.
The MVP
Right now, the project is lean. It’s a proof-of-concept demonstrating the schema and a few key Cypher queries that outperform traditional bio-informatic pipelines. It doesn't have traction yet, but the goal is to provide a foundation for researchers to navigate the complex "Nexus" of biological data.
I’d love the community’s thoughts
Check out the demo here: https://drive.google.com/file/d/1dwDlAfaYgKTyzq1ASFmWbdN7YjcnLwuZ/view?usp=drivesdk
Looking forward to your feedback!