Open-source · Self-hosted · Privacy-first

Upload a FASTQ.
Get a clinical report.

GenomePlatform automates bacterial genome assembly, AMR profiling, MLST typing, and AI interpretation — all from a single FASTQ file. No coding required.

9
Pipeline stages
24h
Auto data deletion
0
Data stored

Everything in one pipeline

From raw reads to actionable clinical insights — automatically.

🔍

Auto Read Detection

Automatically distinguishes MinION long reads from Illumina short reads based on read length distribution. No configuration needed.

🔧

De Novo Assembly

Flye for long reads, Shovill/SPAdes for Illumina. Produces high-quality assemblies ready for downstream analysis.

💊

AMR Profiling

AMRFinderPlus detects resistance genes, with class, subclass, and identity scores. Carbapenemases, ESBL, colistin — all covered.

🔬

MLST Typing

Sequence type determination for 100+ schemes. Identifies high-risk clones like ST131, ST258, ST11 instantly.

🤖

AI Clinical Interpretation

Claude AI synthesizes all findings into a clinical narrative: species prediction, risk level, treatment implications, and epidemiological context.

The pipeline

9 automated stages, ~15–45 minutes end-to-end

1
FASTQ Upload & Validation
Magic byte check, size limit, type detection
2
Quality Control
NanoPlot (MinION) or FastP (Illumina)
3
De Novo Assembly
Flye or Shovill, automatic selection
4
MLST + AMR Typing
100+ MLST schemes · AMRFinderPlus
5
AI Interpretation
Claude synthesises findings → clinical report
LycianWay Report
✓ Assembly: 4.9 Mbp · 3 contigs
◉ MLST: Escherichia coli · ST131
AMR GENES DETECTED (3)
CTX-M-15 BETA-LACTAM 100.0%
OXA-1 BETA-LACTAM 99.8%
aac(6')-Ib AMINOGLYCOSIDE 98.2%
AI RISK ASSESSMENT
⚠ HIGH RISK
ESBL-producing pandemic clone
Consider carbapenem therapy
🔒

Privacy by design

🗑 24-hour auto-delete

All uploaded files and analysis results are automatically deleted after 24 hours.

🏠 Self-hosted

Run on your own hardware. Your genomic data never leaves your institution.

🔐 No tracking

IP addresses are hashed and never stored in plain text. No analytics, no cookies.

Get started in 3 steps

1

Clone and configure

git clone https://github.com/cinnetcrash/GenomePlatform
cd GenomePlatform
cp .env.example .env
# Edit .env and add your ANTHROPIC_API_KEY
2

Build and launch with Docker

docker compose build
docker compose up -d
# Platform running at http://localhost:8000

Or without Docker (requires conda environments):

export ANTHROPIC_API_KEY='sk-ant-...'
bash start.sh
3

Upload your FASTQ and wait

Open http://localhost:8000, drag and drop your FASTQ file, and the pipeline starts automatically. You'll receive a detailed HTML report with QC metrics, AMR profile, and AI interpretation.

System requirements

Minimum
  • • 8 CPU cores
  • • 16 GB RAM
  • • 50 GB free disk
  • • Docker or Conda (Miniconda3)
Recommended
  • • 16+ CPU cores
  • • 32 GB RAM
  • • 500 GB SSD
  • • Anthropic API key (for AI interpretation)