OmniBioAI — Official Landing Page

Official landing page for OmniBioAI Studio — an AI-native, reproducible bioinformatics platform for multi-omics research and workflow automation.

🌐 Live site: omnibioai.org
📺 Demo: Watch on YouTube

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Overview

This repository contains the static HTML/CSS/JS landing page for OmniBioAI Studio. The site is a single-page application with multiple sections covering features, supported omics modalities, system requirements, platform downloads, architecture, publications, and a private beta access request form.

The site is built with vanilla HTML, CSS, and JavaScript — no build tools or frameworks required.

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Pages

File	Description
index.html	Main landing page (hero, features, omics, downloads, architecture, publications, beta form)
about.html	About page
admin.html	Beta access admin panel

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Platform Coverage

The download section provides installers for:

macOS

• Apple Silicon (ARM64) — DMG · 101 MB
• Intel (x86_64) — DMG · 105 MB

Linux x86_64

• AppImage (any distro, Ubuntu 20.04+)
• DEB package (Ubuntu / Debian / Mint)
• RPM package (RHEL / Fedora / CentOS)

Linux ARM64 (NVIDIA DGX / AWS Graviton / Raspberry Pi)

• AppImage ARM64
• DEB ARM64
• RPM ARM64

Windows

• Windows installer (NSIS EXE) — 95 MB

All installers include a 30-day free trial license. Access is gated behind a beta approval form.

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Key Platform Stats (v0.4.0-beta)

Metric	Value
Bioinformatics pipelines	50+
Integrated analysis tools	500+
Plugins	125+
Agentic pipelines	10+
Platform microservices	20+

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System Requirements

Component	Minimum	Recommended
RAM	16 GB	32 GB (64 GB with local LLM)
Storage	~5 GB (Docker images) + 50–200 GB data	—
OS	Ubuntu 20.04+, macOS 12+, Windows 10/11 (WSL2)	—
Docker	Engine 24+ or Docker Desktop	—
GPU	Optional (NVIDIA + nvidia-container-toolkit for local LLM)	—

Fully offline after first boot. Internet required only for initial Docker image pull (~10 GB from ghcr.io).

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Supported Omics Modalities

• Single-cell transcriptomics (scRNA-seq)
• Whole exome & genome sequencing (WGS / WES)
• Proteomics & mass spectrometry
• ATAC-seq (chromatin accessibility)
• ChIP-seq (protein-DNA interactions)
• Bulk RNA-seq
• Spatial transcriptomics
• Spatial + single-cell integration
• Structural variant (SV) calling
• DNA methylation / bisulfite sequencing
• Circular RNA (circRNA)
• Multi-omics integration
• CRISPR screen analysis
• Variant prioritization ML
• Drug discovery / GNN-based target identification
• Clinical translational pipelines

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Technology Stack

Languages & Frameworks Python · R · JavaScript · FastAPI · Django · React

Workflow Engines Nextflow · WDL · Snakemake · CWL

Bioinformatics Tools GATK · Seurat · DESeq2

AI / ML LangGraph · PyTorch · CUDA · HuggingFace · Ollama

Infrastructure Docker · Kubernetes · Slurm · AWS · Azure · GCP

Data & Messaging MySQL · Redis · Celery

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Architecture

OmniBioAI Studio UI (Desktop Frontend)
         │ Handshake (Sub-3ms Latency)
Agentic AI Orchestration (LangGraph / Ollama / HuggingFace)
         │ Orchestration & Data Mapping
BioFlow Runtime Engine (Nextflow / WDL / Snakemake)
         │ Tracking & Provenance Link
LIMS-X Metadata & Sample Tracking System
         │ Infrastructure Layer
GPU Accelerated Stack (CUDA / NVIDIA DGX Spark)

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Publications

Selected peer-reviewed work powered by OmniBioAI platform methods:

• 2025 — Genetic mutations in lymphocytic variant of hypereosinophilic syndrome: study of five siblings — Frontiers in Medicine
• 2018 — Whole Exome Sequencing identifies common and rare variant Metabolic QTLs in a Middle Eastern Population — Nature Communications
• 2015 — MetaRNA-Seq: An Interactive Tool to Browse and Annotate Metadata from RNA-Seq Studies — BioMed Research International

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Beta Access

OmniBioAI Studio v0.4.0-beta is in private beta. Researchers can apply via the request form on the landing page. Approved researchers receive a platform-specific download link and onboarding support within 1–2 business days.

👉 Request Access

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Development

This is a static site — no build step required.

# Clone the repo
git clone https://github.com/man4ish/omnibioai-landing.git
cd omnibioai-landing

# Serve locally (any static server)
python3 -m http.server 8080
# or
npx serve .

Then open http://localhost:8080 in your browser.

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Related Repositories

Repo	Description
omnibioai-studio	Desktop application (Electron) — releases and installers

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License

© 2026 OmniBioAI. All rights reserved.