Why Flash-P?
Flash-P builds fully transparent, validated causal networks from literature — and gets better with every contribution from the community.
From GWAS Hit to Mechanism in 5 Steps
Watch how Flash-P takes a significant SNP and traces it through a validated causal network to produce a mechanistic prediction.
Your GWAS Hits
- Paste SNP IDs or upload a summary statistics file
- Significant hits extracted (p < 5e-8)
- Chromosomal positions resolved
- Ready for gene mapping
Runs on a Laptop
The heavy GWAS computation (millions of markers × thousands of samples) is already done by the time you have significant SNPs. Flash-P just interprets the results — and that's fast.
Already Done Before Flash-P
The heavy part
You've already paid this cost. Your summary statistics file is the output.
What Flash-P Does
Runs on any machine
No GPU. No cluster. Python + internet connection is all you need.
Plugin Ecosystem
Flash-P connects to external databases through lightweight API plugins. Each plugin adds a new data layer — all free, all running on your laptop.
SNP-to-Gene Mapper
Ensembl Plants REST API
Map GWAS hits to candidate genes via nearest-gene, LD, and eQTL evidence
GWAS Catalog
EBI GWAS Catalog API
Import known variant-trait associations to cross-reference with network predictions
Phytozome
JGI Phytozome
Comparative genomics and ortholog detection across plant species
UniProt
UniProt REST API
Protein function annotations, interactions, and pathway membership
Breeder Toolkit
Network-powered predictions
Gene stacking simulation, trait trade-off prediction, marker-assisted selection
Custom MCP Plugins
Model Context Protocol
Build your own plugin to connect Flash-P to any database or tool via MCP
Every plugin is a lightweight API wrapper. No downloads larger than a few MB. No GPU. No special hardware. The databases do the heavy lifting — Flash-P just asks smart questions.