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The AI Scientific Workspace
for Computational Life Sciences

Learn, analyze, build, and accelerate discovery — with Omi, your AI scientific partner that writes and runs real code, right on your own data.

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🚀 Founding 500 Priority access closes in 6d 06h 00m 00s
Learn · Analyze · Build

Three ways Omi works with you

Same app, same notebook — Omi adapts to what you're trying to do. Just tell it, and switch anytime.

Learn

Understand the science, not just get an answer.

  • Omi types & explains each line live
  • Voice-taught, on real data & references
  • Keep the notebook to practice later

Analyze

A real, publication-grade result — fast.

  • Runs your FULL dataset, not a subset
  • Explains the result, method & caveats
  • Export a notebook + report for your paper

Build

Turn a method or paper into a real tool.

  • Real multi-file software, not snippets
  • Dashboards & pipelines, tested live
  • Ships with Dockerfile / CI when ready
Real work, real results

What Omicsboard Lab helps you do

Omicsboard Lab helps scientists solve real problems — on your own data, from start to finish.

taxonomy_sunburst.htmlInteractive
Genus-level taxonomy bar chart and recommended next steps from a real 16S analysis in Omicsboard Lab Interactive Krona-style taxonomy sunburst, explorable by Domain, Phylum and Genus Phylogenetic tree of the top 40 genera, built from real k-mer distances

16S taxonomy, explored three ways

A real community profile vs. NCBI/SILVA — genus diversity, an interactive sunburst, and a phylogenetic tree, all from one analysis.

core_genome_phylogeny.pngFigures
Pan-genome of 5 real genomes — gene families per genome, presence/absence matrix, and frequency spectrum Pan-genome composition pie chart (core, accessory, unique) and pan/core accumulation curve Circular genome map with real gene coordinates, coloured by core, accessory and unique gene family

Pan-genome & comparative genomics

Pan-genome clustering, core-genome phylogeny, and circular genome maps across your isolates — publication-ready, zoomable, and exportable.

deseq2_results.ipynbWorkspace
Volcano plot of RNA-seq differential expression — log2 fold change vs -log10 p-value, significant genes highlighted in red
▦
Real screenshot goes here
assets/showcase-rnaseq.png

RNA-seq differential expression

PyDESeq2 differential expression with volcano plots, PCA, and pathway enrichment — run on your counts and explained as it goes.

amr_virulence_report.csvReport
Heatmap of relative abundance of the top 20 antimicrobial resistance genes across African countries Top 20 ARGs ranked by feature importance for predicting country of origin Resistance mechanisms by country, stacked bar chart across 12 African countries

AMR & virulence, across a continent

A pan-African genomic surveillance analysis — resistance gene abundance by country, the ARGs that best predict geographic origin, and the resistance mechanisms at play — screened against CARD & VFDB, cited, not invented.

malaria_surveillance_dashboard.py · localhost:8501App
Malaria drug-resistance genomic surveillance dashboard, built by Omi in Omicsboard Lab
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Real screenshot goes here
assets/showcase-dashboard.png

A real surveillance dashboard, built by Omi

A malaria drug-resistance genomic surveillance dashboard — built end-to-end in Omicsboard Lab, combining WHO burden data, live ENA sequencing counts, molecular resistance markers, vector insecticide resistance, and an ML risk model into one live app, running right in the workspace.

sequence_comparison.ipynbNotebook
Omi teaching live in the Lab Notebook — chat on the left with a real sequence dataset, code and rendered figures on the right
▦
Real screenshot goes here
assets/showcase-notebook.png

Chat and notebook, side by side

Omi talks you through the work in chat while writing and running real code in the Lab Notebook next to it — here, comparing antimicrobial-peptide and resistance genes across six real sequences, with the figures rendered inline. Export the exact notebook and report for your paper.

AMR_Manuscript.pdfPaper

A real research paper

A full write-up Omi drafted from a real analysis — comparative genomics of antimicrobial-peptide & resistance genes, with abstract, methods, phylogeny, and findings. Scroll above to read it, or open the PDF in a new tab.

precision_medicine_tool.htmlBuild

A working, tested tool — try it live

A precision-medicine report generator Omi built from pharmacogenomics knowledge — pick a gene and variant (or upload a real VCF) and it generates a clinical drug-dosing report on the spot. It's live above; use it, or open it in a new tab.

Capabilities

One app to learn, analyze, build & discover

A live coding notebook with an AI partner who does real work — and is honest about what runs here vs. in the cloud.

Live Coding Notebook

Omi writes and runs real Python in an in-app notebook — you watch the code, the output, the plots, and the explanation appear together. No setup, no terminal, no copy-paste.

Research in Any Field

Bring data from genomics, transcriptomics & metagenomics, immunoinformatics, cheminformatics, or systems biology. Omi writes and runs the real analysis on your machine — a publication-grade result, sized to your hardware and explained in plain language.

Discover, Not Just Compute

Every result comes with what it means, the method behind it, and the honest caveats — grounded against the published record, with the next hypothesis to test. Omi turns computation into scientific direction, not just output.

Galaxy Cloud, Built In

Connect your free Galaxy account once. Omi submits gold-standard pipelines (e.g. DADA2) to Galaxy's cloud via the API — no clicking through the website — and pulls the results back here.

Real Data & Literature

Fetches sequences and runs from NCBI / ENA / SRA, searches the literature (Europe PMC + OpenAlex), and pulls public data (WHO, World Bank, NASA, GBIF, Ensembl, UniProt) — never invented.

Proven on Real Data

Validated workflows against real reference databases — 16S taxonomy vs NCBI & SILVA, resistance & virulence vs CARD & VFDB, plus variant calling, pan-genomics, and phylogenetics. No toy datasets, no fabricated results.

Build Real Tools

Goes beyond snippets: complete software, interactive dashboards, and pipelines — and authors Dockerfiles, Nextflow/Snakemake, and CI when you're ready to deploy.

Voice Teaching

Omi talks you through the work out loud as it types — like a senior scientist narrating beside you. Interactive figures zoom & pan, and export as PNG or PDF.

Private by Design

Everything runs in a Python notebook on your machine; your files are read straight from disk and never uploaded. Only your chat goes to the AI — your raw data stays yours.

Why Omicsboard Lab

Built for Real Computational Science Work

Omicsboard Lab fills the gap between "I have data" and "I understand my results" — for researchers at every level.

Feature Omicsboard Lab ChatGPT / code chatbot Hiring a Bioinformatician
Actually runs the analysis Writes & runs it live Gives code to copy-paste Yes
Works on your full real dataset In the notebook, on your machine No data access Yes
Teaches you as it works Every step explained + spoken Explains, but you run it If they have time
Gold-standard cloud pipelines Runs on your Galaxy account, results back No Yes
Your data stays private Read from disk, never uploaded You'd paste it in Shared with them
Available 24/7 Always Always Business hours
Cost Free trial · simple monthly plan ~$20 / month $60–150 / hour
Who it's for

Built for everyone who hits the bioinformatics wall

From your first analysis to your next paper — Omicsboard Lab meets you where you are.

🎓

Students & learners — understand a method by watching Omi build it line by line on real data, then keep the runnable notebook to practice.

🔬

Researchers & PhDs — get a real, publication-grade result on your own data fast, with the method and caveats explained, and an exportable report for your paper.

🏥

Clinicians & labs — analyze and interpret without a bioinformatics degree; route the heavy, gold-standard steps to the cloud and bring results back.

Pricing

Free to start. Then one simple plan.

🔥 Launching now — join the Founding 500: the first 500 members get priority access and founding-member pricing. Learn more →

Free Taste

$0

No card needed

  • ✓ 1 full project — Learn, Analyze or Build
  • ✓ Real analysis on your own data
  • ✓ Hear Omi's voice (free tier)
  • ✓ Your data stays on your machine
Join the waitlist
Most Popular

Pro

$15/mo

Full access with a generous monthly usage allowance.

  • ✓ Unlimited topics (fair use)
  • ✓ Python + R + Bioconductor
  • ✓ Voice tutor
  • ✓ Save, export & HTML reports
  • ✓ Priority responses
Join the waitlist

Power

$30/mo

For daily power users — a much larger monthly allowance.

  • ✓ Everything in Pro
  • ✓ Much larger monthly usage
  • ✓ Best for heavy daily learners
Join the waitlist

When you hit your monthly voice allowance, voice pauses and text keeps working free — you're never cut off. Org & institution plans are coming with the Omicsboard platform. Payments via Paystack — secure, local currency supported.

FAQ

Questions answered

Is the app really free to download?

Yes. Omicsboard Lab is free to download and install, and your first full project is on us — no card needed to start. After that, a simple plan (Pro $15/mo or Power $30/mo — also available in Naira) keeps it going and unlocks Omi's premium voice teaching, with a transparent usage allowance you can always see.

How does the plan work?

It's a flat monthly subscription, not a per-question meter. Each plan includes a generous, visible voice allowance. You'll get a friendly heads-up as you approach it — and if you reach it, voice simply pauses while text keeps working for free, so you're never locked out. Wait for the monthly reset or move up a tier. No surprise charges.

Does my genomic data get sent to the cloud?

No. Omi reads your files (FASTQ, CSV, VCF, count matrices) straight from your disk and works on them in a notebook on your machine. Only the text of your conversation goes to the AI. Your raw data is never uploaded — unless you choose to send a step to your own Galaxy cloud account.

What operating systems are supported?

Omicsboard Lab runs on Windows 10 and 11 (64-bit). macOS and Linux are on the roadmap. The live Python notebook and a full scientific stack are set up for you on first launch — no pre-installation.

Do I need to know bioinformatics to use it?

Not at all. It's built for everyone from first-time learners to senior scientists. In Learn mode Omi teaches line by line and out loud; in Analyze mode it just delivers the result and explains what it means.

What can it actually run — and what about R tools?

The local notebook is Python, with the full scientific stack (BioPython, pandas, scanpy, scikit-bio, PyDESeq2, and more — auto-installed on demand). For the R-only gold standards (DESeq2, DADA2) and heavy/large jobs, Omi runs them on your own free Galaxy cloud account via the API and brings the results back into the notebook.

How is this different from using ChatGPT for bioinformatics?

ChatGPT gives you code to copy-paste. Omi actually writes and runs the code on your real data, reads the output, fixes its own errors, produces the figures, and explains the result — a working analyst, not a code generator.

🔥 LIMITED — FOUNDING 500 BETA

Be one of the first 500 to learn, analyze & build with Omi

The first 500 members get priority access and founding-member pricing as we roll out. Offer closes:

00days : 00hrs : 00min : 00sec
Join the waitlist See how it works

Windows 10 / 11 · early access rolling out to founding members first