Why Flash-P?

Why Flash-P?

Flash-P builds fully transparent, validated causal networks from literature — and gets better with every contribution from the community.

SNP → Gene → Pathway → Phenotype
Validated with 3 independent methods
Community-improved daily
Interactive Demo

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 HitsStep 1/5
Upload your significant associations
GWAS Summary Statistics
SNP IDPositionP-value
rs12345678chr3:4,521,890
2.3e-8
rs98765432chr1:28,341,002
4.1e-11
rs55667788chr6:15,892,440
8.7e-9
rs11223344chr4:31,004,571
1.2e-10
rs44556677chr8:7,218,933
6.5e-9
5 genome-wide significant hits detected

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
Next: Gene Mapping
Community Flywheel

Using the Network IS Contributing

Like Waze for biology — every query, every validation, every result check makes the network better for everyone. Zero extra effort required.

UUseVValidateIImproveRReward

Better networks attract more users. More users produce more validations. More validations improve the networks. The flywheel accelerates.

Zero-Cost Contribution

The Waze Model

Checking your result against the network IS the contribution. No extra forms, no data entry. Just use Flash-P normally and you help everyone.

Citation Credit

ORCID Integration

Your ORCID is attached to every validation you contribute. When a network is used in a publication, contributors are credited automatically.

Lab Leaderboard

Academic Recognition

Labs ranked by quality and quantity of contributions. Top contributors earn badges, visibility, and recognition in the community.

Every user
Contributors
Zero
Cost to contribute
ORCID-based
Credit system
Continuous
Network improvement
No Cluster Required

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

GWAS association testingHPC / Cloud
Genotype imputationHPC / Cloud
Population structure (PCA)Workstation
Multiple testing correctionWorkstation

You've already paid this cost. Your summary statistics file is the output.

What Flash-P Does

Runs on any machine

SNP-to-gene mapping< 1 sec
Gene-to-network matching< 1 sec
Network propagation (50 nodes)< 100 ms
Full validation (3 methods)< 2 sec
Literature search (PubMed)30-60 sec

No GPU. No cluster. Python + internet connection is all you need.

Any modern CPU
CPU
4 GB sufficient
RAM
Internet for APIs
Network
5-15 minutes
Full pipeline
Extensible

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

planned

Map GWAS hits to candidate genes via nearest-gene, LD, and eQTL evidence

Free API
API calls only

GWAS Catalog

EBI GWAS Catalog API

planned

Import known variant-trait associations to cross-reference with network predictions

Free API
API calls only

Phytozome

JGI Phytozome

planned

Comparative genomics and ortholog detection across plant species

Free (academic)
Bulk download

UniProt

UniProt REST API

planned

Protein function annotations, interactions, and pathway membership

Free API
API calls only

Breeder Toolkit

Network-powered predictions

concept

Gene stacking simulation, trait trade-off prediction, marker-assisted selection

Local compute
< 1 sec/query

Custom MCP Plugins

Model Context Protocol

available

Build your own plugin to connect Flash-P to any database or tool via MCP

Self-hosted
Varies

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.

Academic Incentives

Get Credited for Every Contribution

Science runs on citations. Flash-P makes sure your contributions count — with ORCID tracking, automatic attribution, and visible recognition.

ORCID-Linked Contributions

Every validation tracked to your identity

Validations submitted23
Edge reviews47
Networks cited your work8

When a paper uses a network you helped validate, your ORCID appears in the acknowledgments. Automatic. No extra work.

Lab Leaderboard

Top contributors get recognition

1
Wang Lab, CAAS
Gold
156
2
Kumar Lab, IRRI
Gold
134
3
Tanaka Lab, NIAS
Silver
98
4
Silva Lab, EMBRAPA
Silver
72

Rankings update weekly. Top labs featured on the Hub homepage.

Start Building Better Networks

Download Flash-P, explore validated networks, and contribute your expertise — every contribution makes the science better for everyone.