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OmniBioAI Studio

Desktop orchestration platform for AI-powered bioinformatics computation

OmniBioAI Studio is an Electron desktop app that launches and manages the full OmniBioAI stack — locally, on HPC clusters, or in the cloud — with a single click.


✨ What's New in v0.2.0-beta

  • License key system — 30-day trial keys (OMNI-XXXX-XXXX-XXXX-XXXX format)
  • Sentry error tracking — automatic error reporting across all services
  • Bug report button — 🐛 in-app bug reporting via Studio UI
  • Cython IP protection — core business logic compiled to .so binaries
  • MySQL-backed license server — license validation with MySQL persistence
  • DEV_MODE flag — replaces BETA_MODE for cleaner build configuration
  • 500+ bioinformatics tools — 350 HTTP API tools + 144 Slurm execution tools
  • Windows installer — NSIS .exe installer added alongside DMG and AppImage
  • Zero-trust security control plane — JWT authentication + RBAC/ABAC policy enforcement on every request
  • API Gateway — single enforced entry point for all service traffic
  • HPC Policy Engine — per-user GPU/CPU quota governance
  • Security Audit Service — async audit logging via Redis Streams (user, action, decision, latency, trace ID)
  • Redis token caching — validated tokens cached (TTL=300s) with pub/sub invalidation on logout
  • Internal service header propagation (X-Internal-Service, X-Trace-Id, X-User-Id) across all TES calls
  • Fail-closed on auth/policy/HPC failure; fail-open on audit (never blocks requests)
  • RAG V6 FAISS index — persistent vector store with recursive document indexing for large literature corpora

v0.1.0-beta.1

  • Full local stack launch with containerized services
  • Live service health monitoring (Control Center)
  • Docker image dashboard (platform + plugin images)
  • Dev Hub with knowledge graph + RAG UI
  • SDK Launcher for OmniBioAI Python SDK
  • Mode-aware startup: Local / HPC / Cloud / Hybrid
  • LLM configuration: Ollama (local) + Claude API + OpenAI
  • Cloud execution: AWS Batch / Azure Batch / GCP Batch / Kubernetes
  • HPC execution: Slurm / PBS / LSF via TES

📦 Downloads

Platform File Requirements
macOS (M1/M2/M3/M4) OmniBioAI-Studio-arm64.dmg macOS 12+
macOS (Intel) OmniBioAI-Studio-x64.dmg macOS 12+
Linux OmniBioAI-Studio.AppImage Ubuntu 20.04+
Windows OmniBioAI-Studio-Setup.exe Windows 10/11

Download from: https://github.com/man4ish/omnibioai-studio/releases/latest


🔐 Security Control Plane

All requests are enforced through a zero-trust pipeline:

Internet / Client
       ↓
api-gateway :8080     ← single entry point, JWT enforcement
       ↓
auth-service :8001    ← JWT validation + Redis cache (TTL=300s)
       ↓
policy-engine :8002   ← RBAC/ABAC authorization decision
       ↓
hpc-policy-engine :8003  ← GPU/CPU quota check (compute requests only)
       ↓
target service (workbench / tes / toolserver / rag)
       ↓
security-audit :8004  ← async audit log → Redis Streams (never blocks)

Failure policy:

Layer On failure
Auth FAIL CLOSED → HTTP 401
Policy FAIL CLOSED → HTTP 403
HPC quota FAIL CLOSED → HTTP 403
Audit FAIL OPEN → ignored

🖥 Services

Service Port Description
API Gateway :8080 Zero-trust entry point — auth + policy + HPC enforcement
Auth Service :8001 JWT issuance, validation, refresh, logout
Policy Engine :8002 RBAC/ABAC authorization decisions
HPC Policy Engine :8003 GPU/CPU quota governance per user/team
Security Audit :8004 Async audit logging via Redis Streams
Workbench :8000 Main bioinformatics platform (Django)
TES :8081 Task Execution Service (Slurm / AWS / Azure / GCP / K8s)
ToolServer :9090 FastAPI bioinformatics tool server
Model Registry :8095 ML model versioning and serving
LIMS :7000 Lab Information Management System
Control Center :7070 Service health + Docker image dashboard
RAG :8090 (ext) / :8096 (int) PubMed literature AI + DeepSeek RAG (V6 FAISS, persistent vector store)
Dev Hub :5173 / :8082 Knowledge graph + embeddings UI
Workflow Bundles :8098 WDL/Nextflow/Snakemake/CWL workflow bundle server
Tool Images :8097 Bioinformatics tool image registry
Videos :8086 Tutorial and demo video server
SDK Launcher :5190 OmniBioAI Python SDK UI
Ollama :11434 Local LLM inference
OPA :8181 Open Policy Agent (policy rules backend)

Plugin images (pulled on-demand by TES)

Image Description
omnibioai-plugin-scanpy Single-cell RNA-Seq analysis
omnibioai-plugin-fastq-qc FASTQ quality control (FastQC + MultiQC)
omnibioai-plugin-fastq-trimmer Read trimming (Trimmomatic)
omnibioai-plugin-rnaseq-analysis Bulk RNA-Seq (DESeq2/edgeR)
omnibioai-plugin-workflow-runner WDL/Nextflow/Snakemake/CWL execution
omnibioai-plugin-variant-annotation Variant annotation (SnpEff/ANNOVAR)
omnibioai-plugin-marker-identification Marker gene identification
omnibioai-plugin-phenotype-association GWAS + phenotype association

🧰 Bioinformatics Tools (500+)

HTTP API Tools (350)

Direct REST API integrations — no compute needed:

  • Genomics: Ensembl, NCBI, ClinVar, gnomAD, dbSNP
  • Proteins: UniProt, AlphaFold, PDB, InterPro
  • Pathways: KEGG, Reactome, WikiPathways, GO
  • Literature: PubMed, Europe PMC, Semantic Scholar
  • Drugs: ChEMBL, DrugBank, PharmGKB, OpenFDA
  • Single Cell: CellxGene, HCA, Broad SCP
  • Metabolomics: HMDB, LipidMaps, MetaboAnalyst
  • And 280+ more across all omics domains

Slurm/HPC Tools (144)

Compute-heavy tools executed on HPC/cloud:

  • Alignment: BWA, STAR, HISAT2, Minimap2
  • Variant Calling: GATK, DeepVariant, Clair3, Mutect2
  • RNA-seq: DESeq2, edgeR, Salmon, Kallisto
  • Single Cell: Seurat, Scanpy, Cell Ranger
  • ML/AI: PyTorch, TensorFlow, ESM2, AlphaFold2
  • Proteomics: MSFragger, MaxQuant, DIA-NN
  • And 90+ more

🧬 Bioinformatics Modules

Core Platform

Home · OnboardAI · Omni Assistant · Job Monitor · Plugin Manager · Admin

Workflows

Workflow Runner · Workflow Builder · Agent Studio · Pipeline Dashboard · Multi-Agent Bio Orchestrator · Workflow Compiler

Omics Analysis

RNA-Seq · Single Cell (scRNA-Seq) · Exome Analysis · FASTQ QC · Proteomics · Metabolomics

AI & Intelligence

Drug Target AI · Literature AI · Pathway Enrichment · Bio Hypothesis AI · Bio Narrator AI

Learn

Getting Started · Tutorials · Demo Workflows · Example Pipelines · Developer Hub · Videos


📋 Requirements

Requirement Minimum Recommended
RAM 16GB 32GB
Disk 50GB free 100GB free
Docker Engine 24+ Docker Desktop
OS Ubuntu 20.04+ Ubuntu 22.04+
GPU NVIDIA + nvidia-container-toolkit

Also required:

  • jqsudo apt install jq or brew install jq
  • Docker Compose v2 — included with Docker Engine 24+

🚀 Quick Start

Stack only (headless / no Electron)

git clone https://github.com/man4ish/omnibioai-studio
cd omnibioai-studio
cp .env.example .env
# Edit .env — fill in your paths and secrets
docker compose up -d

Then register your first user and get a token:

# Register
curl -X POST http://localhost:8001/auth/register \
  -H "Content-Type: application/json" \
  -d '{"email":"admin@example.com","password":"yourpassword","full_name":"Admin"}'

# Login — returns JWT token
curl -X POST http://localhost:8001/auth/login \
  -H "Content-Type: application/json" \
  -d '{"email":"admin@example.com","password":"yourpassword"}'

# Use token through gateway
curl -H "Authorization: Bearer <token>" http://localhost:8080/api/tools

Linux (AppImage)

chmod +x "OmniBioAI-Studio.AppImage"
./"OmniBioAI-Studio.AppImage"
  1. Enter your license key when prompted
  2. Select execution mode (Local recommended for first run)
  3. Set Data Directory and Work Directory in Settings
  4. Click Boot System on the Launch page
  5. Open Workbench at http://localhost:8000

From source

npm install
npm run dev              # development mode
npm run build            # build AppImage (Linux)
npm run build:mac        # build DMG (macOS)
npm run build:win        # build EXE (Windows)

🔑 License & Access

OmniBioAI Studio requires a license key for first launch.

Getting a License

Contact: mandecent.gupta@gmail.com for beta access

License Key Format

OMNI-XXXX-XXXX-XXXX-XXXX (30-day trial)

First Launch Flow

  1. Download installer (DMG / AppImage / EXE)
  2. Launch OmniBioAI Studio
  3. Enter license key when prompted
  4. App validates key against license server
  5. Platform pulls images from ghcr.io automatically
  6. Studio launches — ready to use!

Offline Grace Period

License is cached locally for 7 days offline use.


🔑 Environment Variables

Copy .env.example to .env and fill in:

# Database
MYSQL_ROOT_PASSWORD=your-db-password
MYSQL_DEFAULT_DB=omnibioai

# Auth (change in production)
AUTH_SECRET_KEY=your-secret-key-here

# Network
HOST_IP=0.0.0.0

# Paths (absolute paths on host)
DB_INIT_DIR=/path/to/omnibioai-studio/db-init
WORKSPACE_HOST=/path/to/workspace
WORK_DIR=/path/to/work
DATA_DIR=/path/to/data
VIDEO_DIR=/path/to/videos

# AI API Keys (optional)
ANTHROPIC_API_KEY=
OPENAI_API_KEY=

# Build
DEV_MODE=false

# Error reporting (set empty to disable)
SENTRY_DSN=

🔗 GHCR Authentication

Private service images require authentication. Beta users receive a GitHub token automatically with their license key.

Manual setup:

export GITHUB_TOKEN=your_github_personal_access_token
export GITHUB_USER=your_github_username
echo $GITHUB_TOKEN | docker login ghcr.io -u $GITHUB_USER --password-stdin

Token needs read:packages scope.

Public images (no auth needed):

  • omnibioai-base (3.4GB — heavy dependencies, pull once)
  • omnibioai-dev-env
  • omnibioai-tool-runtime
  • All omnibioai-plugin-* images (122 plugins)

Private images (token required):

  • omnibioai-app (~170MB — app code only, fast updates)
  • All core service images

🐛 Error Reporting

OmniBioAI Studio includes built-in error reporting via Sentry.

  • Click the 🐛 Report Bug button in the Studio UI
  • Fill in title, description and severity
  • Report sent automatically to our dashboard
  • We'll respond within 24 hours during beta

To disable: set SENTRY_DSN= (empty) in .env


☁️ Execution Backends

Local

  • CPU/GPU execution via Docker
  • NVIDIA GPU support with nvidia-container-toolkit

HPC

  • Slurm — cluster job submission via TES
  • PBS / LSF — alternative schedulers
  • Apptainer/Singularity — container runtime for HPC
  • SSH-based remote execution

Cloud

  • AWS Batch — S3 input/output, IAM profiles
  • Azure Batch — Blob storage, managed identity
  • GCP Batch — Cloud Storage, service accounts
  • Kubernetes — any K8s cluster via kubeconfig

LLM

  • Ollama — local inference (Llama, DeepSeek, Mistral, etc.)
  • Claude API — Anthropic cloud API
  • OpenAI — GPT-4 and compatible APIs

🏗 Architecture

┌─────────────────────────────────────────┐
│        OmniBioAI Studio                 │
│     Electron + React (Wizard UI)        │
└──────────────┬──────────────────────────┘
               │ IPC
               ▼
┌─────────────────────────────────────────┐
│        Electron Main Process            │
│  - Config manager (JSON)                │
│  - Docker Compose lifecycle             │
│  - Health check polling                 │
│  - Log streaming                        │
└──────────────┬──────────────────────────┘
               │ docker compose
               ▼
┌─────────────────────────────────────────┐
│     Security Control Plane              │
│  API Gateway · Auth · Policy Engine     │
│  HPC Policy · Security Audit · Redis    │
└──────────────┬──────────────────────────┘
               │ verified requests only
               ▼
┌─────────────────────────────────────────┐
│        Docker Compose Runtime           │
│  Workbench · TES · ToolServer           │
│  Model Registry · LIMS · RAG            │
│  Control Center · Dev Hub · SDK         │
└──────────────┬──────────────────────────┘
               │
               ▼
┌─────────────────────────────────────────┐
│        Execution Backends               │
│  Local GPU/CPU · Slurm/PBS/LSF          │
│  AWS Batch · Azure Batch · GCP          │
│  Kubernetes · Ollama · Claude API       │
└─────────────────────────────────────────┘

⚙ Configuration

Studio stores config at:

  • Linux: ~/.config/omnibioai/omnibioai.config.json
  • macOS: ~/Library/Application Support/omnibioai-studio/omnibioai.config.json

Key settings:

{
  "mode": "local",
  "settings": {
    "data_dir": "/path/to/omnibioai/data",
    "work_dir": "/path/to/omnibioai/work"
  },
  "llm": {
    "enable_ollama": true,
    "enable_claude": false,
    "claude_api_key": "",
    "enable_openai": false
  },
  "cloud": {
    "enable_aws_batch": false,
    "enable_gcp_batch": false,
    "gcp_project": "",
    "gcp_region": ""
  },
  "hpc": {
    "enabled": false,
    "scheduler": "slurm",
    "hostname": "hpc.university.edu",
    "username": "",
    "private_key": "~/.ssh/id_rsa"
  }
}

🔗 OmniBioAI Ecosystem

OmniBioAI Studio is the desktop control layer for:

Repository Role
omnibioai Main Django workbench + 80+ plugins
omnibioai-api-gateway Zero-trust API gateway
omnibioai-auth JWT authentication service
omnibioai-policy-engine RBAC/ABAC authorization
omnibioai-hpc-policy-engine GPU/CPU quota governance
omnibioai-security-audit Async audit logging
omnibioai-iam-client Python SDK for auth integration
omnibioai-tes Task Execution Service
omnibioai-toolserver FastAPI tool API
omnibioai-lims Lab data management
omnibioai-model-registry ML model versioning
omnibioai-control-center Health + image dashboard
omnibioai-rag PubMed RAG pipeline
omnibioai-dev-hub Knowledge graph + embeddings
omnibioai-workflow-bundles WDL/Nextflow/Snakemake bundles
omnibioai-tool-images 80+ bioinformatics tool containers
omnibioai_sdk Python SDK + React launcher
omnibioai-dev-docker DGX/GPU development environment
omnibioai-security-sdk Security SDK for service auth integration
omnibioai-design-tokens Shared design tokens and theme system
omnibioai-ui Shared UI component library
omnibioai-landing Public-facing landing page

🗺 Roadmap

v0.2.0-beta — Current Release

  • License key system (OMNI-XXXX-XXXX-XXXX-XXXX, 30-day trial)
  • Sentry error tracking + in-app bug report button
  • Cython IP protection (.so compiled binaries)
  • MySQL-backed license server
  • DEV_MODE flag (replaces BETA_MODE)
  • 500+ bioinformatics tools (350 HTTP API + 144 Slurm)
  • Windows NSIS .exe installer
  • Zero-trust JWT authentication on every request
  • RBAC/ABAC policy engine
  • HPC quota governance
  • Async audit logging via Redis Streams
  • Redis token caching with pub/sub invalidation
  • Internal service header propagation

v0.3 — Beta Launch (July 4th 2026 target)

  • DMG + AppImage + EXE installers via GitHub Actions
  • Auto-updater for all platforms
  • Cloudflare-integrated beta signup with automatic license delivery
  • Public beta announcement

v0.4 — Cloud & HPC

  • AWS/Azure/GCP job submission UI
  • Cost estimation per workflow
  • Multi-tenant workspace isolation

v0.5 — Enterprise

  • SSO / SAML integration
  • Role management UI
  • HIPAA compliance reporting from audit logs
  • Cost attribution per user/team

🖥 Platform Notes

ARM machines (Apple Silicon, AWS Graviton): Some service images were built for linux/amd64. They run via emulation on ARM with a warning:

The requested image's platform (linux/amd64) does not match the detected host platform (linux/arm64/v8)

This is expected and harmless for development. For production ARM deployments, rebuild affected images with --platform linux/arm64.


🐛 Known Issues (Beta)

  • System MySQL/Redis must be stopped before starting: sudo systemctl stop mysql redis-server
  • GITHUB_TOKEN must be set manually for private image pull
  • macOS DMG not yet code-signed (GateKeeper warning expected)
  • Windows installer not yet code-signed
  • Kubernetes health check requires ~/.kube/config
  • policy-engine and hpc-policy-engine do not expose a /health endpoint (returns 404, services are running)
  • License server requires MySQL (included in docker-compose)
  • First launch requires internet connection for license validation
  • 7-day offline grace period after initial validation
  • Bug reports sent to Sentry (can be disabled via SENTRY_DSN= in .env)

📄 License

Apache 2.0 — see LICENSE


👤 Author

Manish Kumar — GitHub


OmniBioAI Studio is not a bioinformatics tool — it is a desktop orchestration system for distributed, secure, AI-native scientific computation.

About

Electron + React + Vite desktop app for OmniBioAI — provides a visual workflow builder, plugin launcher, and unified control plane for local, HPC, and cloud bioinformatics execution. Connects to the Django backend via IPC and REST, integrates Docker runtime and local LLM inference via Ollama.

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