OmniBioAI Studio is an AI-native bioinformatics platform designed to accelerate scientific discovery through intelligent automation, reproducible workflows, and scalable computational infrastructure.
It provides a unified environment for genomics, multi-omics, AI-driven biological reasoning, workflow orchestration, and reproducible computational research across local machines, HPC clusters, and cloud environments.
🚀 Built for researchers, computational scientists, and developers building the next generation of biomedical AI systems.
| 2M+ lines of production code | 25,000+ tests · 90% coverage |
| 28+ microservices | 225+ bioinformatics/ML plugins |
| 1,025 container images (225 Docker + 800 ARM64 SIF) | 600+ workflow bundles (Nextflow, WDL, CWL, Snakemake) |
| 36M PubMed abstracts indexed | 11,500+ execution, cloud, HPC, and orchestration tools |
📊 Live platform metrics & health → — real-time architecture, codebase stats, and service status, not just claims.
OmniBioAI connects biological data, computational workflows, AI models, and scientific knowledge into a unified ecosystem.
Biological Data
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┌──────────────────────┐
│ OmniBioAI Platform │
└──────────────────────┘
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├── 🧬 Multi-Omics Analysis
├── 🤖 AI Agents & Scientific Reasoning
├── ⚙️ Workflow Orchestration
├── 🐳 Containerized Execution
├── 🖥 HPC & Cloud Compute
├── 📚 Knowledge Retrieval & RAG
├── 🔐 Security & Governance
└── 🔬 Reproducible Research
Support for modern computational biology workflows:
- Genomics
- Transcriptomics
- Single-cell RNA sequencing
- Proteomics
- Variant analysis
- Functional annotation
- Biological pathway analysis
- Knowledge-driven discovery
OmniBioAI integrates AI systems designed for biological reasoning:
- AI-assisted workflow generation
- Biomedical knowledge retrieval
- Literature-aware analysis
- Scientific hypothesis generation
- Agent-driven computational workflows
- Model-assisted interpretation
Execute bioinformatics pipelines across multiple environments:
- Local workstation
- HPC clusters
- Slurm environments
- Cloud batch systems
- Containerized compute environments
600+ versioned workflow bundles across:
- Nextflow
- WDL
- Snakemake
- CWL
Unified AI-Native Bioinformatics Platform — 9-layer architecture from client access through security, observability, and development environments.
| Repository | Description |
|---|---|
| omnibioai | Main Django workbench + 80+ plugins |
| omnibioai-studio | Electron desktop app — orchestrates the full stack |
| omnibioai-ecosystem | Platform orchestration and service integration |
| omnibioai-control-center | Platform monitoring and operational dashboard |
| omnibioai-workbench | Plugin execution environment |
| omnibioai-launcher | Opens registry objects in Jupyter, VS Code, and RStudio |
| omnibioai-sdk | Python SDK client |
| Repository | Description |
|---|---|
| omnibioai-tes | Tool Execution Service for local, HPC, and cloud execution |
| omnibioai-toolserver | FastAPI tool API |
| omnibioai-tool-runtime | Cloud-agnostic container execution runtime |
| omnibioai-tool-images | Bioinformatics and ML container images |
| omnibioai-workflow-bundles | Versioned reproducible workflow packages |
| Repository | Description |
|---|---|
| omnibioai-rag | Biomedical retrieval augmented generation system |
| omnibioai-dev-hub | AI intelligence hub with semantic retrieval |
| omnibioai-model-registry | ML model lifecycle and provenance management |
| Repository | Description |
|---|---|
| omnibioai-auth | Authentication and identity services |
| omnibioai-api-gateway | Zero-trust API gateway |
| omnibioai-policy-engine | RBAC/ABAC policy enforcement |
| omnibioai-hpc-policy-engine | GPU/CPU quota governance |
| omnibioai-security-audit | Security events and observability |
| omnibioai-security-sdk | Shared security framework |
| omnibioai-iam-client | Identity and access management client |
| Repository | Description |
|---|---|
| omnibioai-lims | Biological sample and metadata management |
| omnibioai-data | Reference and example datasets |
| omnibioai-docs | Technical documentation |
| omnibioai-videos | Tutorials and onboarding resources |
| Repository | Description |
|---|---|
| omnibioai-design-tokens | Shared design tokens and theme |
| omnibioai-ui | Shared UI component library |
| omnibioai-landing | Public-facing landing page |
Every analysis should be traceable:
- Input provenance
- Reference versions
- Tool versions
- Execution environment
- Workflow history
- Output artifacts
OmniBioAI follows:
✅ Deterministic execution before AI reasoning ✅ Evidence-based biological interpretation ✅ Human review for critical decisions ✅ Complete computational provenance
- Python
- FastAPI
- Django
- MySQL
- Redis Streams
- React
- TypeScript
- Vite
- Design systems
- Large Language Models
- Retrieval Augmented Generation
- Vector search
- Knowledge graphs
- Scientific agents
- Docker
- Kubernetes
- Slurm
- Cloud batch computing
🌐 Website https://omnibioai.org
📊 Live Platform Stats https://control.omnibioai.org
🐙 GitHub Organization https://github.com/OmniBioAI
📦 Container Registry (1,025 images) https://github.com/orgs/OmniBioAI/packages
📚 Documentation
See the omnibioai-docs repository
🎥 Tutorials
See the omnibioai-videos repository
💬 Discord https://discord.gg/Hu6vgfAFn
🐦 Twitter https://twitter.com/OmniBioAI
Created by Manish Kumar
🧬 Senior Computational Scientist | 🤖 AI-Native Bioinformatics Engineer
18 years across 🇺🇸 USA, 🇶🇦 Qatar, 🇲🇾 Malaysia, 🇸🇦 Saudi Arabia, and 🇮🇳 India, building genomics and precision medicine infrastructure for research and clinical environments.
🏥 Currently at the University of Kansas Medical Center — genomics, single-cell, exome & proteomics pipelines for rare disease and translational research.
Building intelligent computational systems at the intersection of:
Biology × AI × Software Engineering × HPC
Build the operating layer where biological data, computational workflows, and artificial intelligence converge to accelerate discovery.
⭐ Star the repositories, explore the architecture, and join the future of AI-powered computational biology.