TutorialsHow to run RNA-seq differential expression without writing code
A plain-English walkthrough of going from count data to a volcano plot and a ranked gene list — reproducibly, and without touching R or Python.
Bioinformagic
Read articleBioinformatics, powered by AI. Guided by you.
Bioinformagic transforms plain English into transparent, reproducible bioinformatics analyses you can inspect, trust, and reference — all while keeping your data securely on your own machine.
Built for the moment when great data gets stuck.
But too often, the data stops moving.
Bioinformagic is built for that moment.
Describe the analysis you need in plain English. Bioinformagic turns that into a transparent, reproducible workflow on your own machine — so you can inspect every step and rerun with confidence.
Not a black box.
Not another queue.
A direct path from question to evidence.
Serious bioinformatics, without the usual friction — from the first prompt to the final figure.
Turn a plain-English request into an inspectable analysis workflow.
Run analyses where your files already live — without unnecessary cloud upload.
Capture parameters, environments, inputs, outputs, and manifests automatically.
Build from reference-backed workflows shaped around established analysis practice.
Create figures, summaries, and reports ready for review, sharing, and manuscripts.
One place for every analysis you run — still taking shape behind early access. The first look goes to the waitlist.
Short, expert-written guides on biology, data, and reproducible analysis you can cite or share with your lab.
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TutorialsA plain-English walkthrough of going from count data to a volcano plot and a ranked gene list — reproducibly, and without touching R or Python.
Bioinformagic
Read article
PrivacyMost cloud genomics tools ask you to upload your raw reads first. Here's why we designed Bioinformagic to run inside your own institutional network — and what that means for privacy, cost and control.
Bioinformagic
Read article
ProductSingle-cell analysis has a lot of moving parts: QC, clustering, annotation, visualisation. Here's how natural language maps onto each step — and stays auditable.
Bioinformagic
Read articleBioinformagic is an AI-powered bioinformatics workspace that helps researchers turn plain-English analysis requests into transparent, reproducible workflows. It is designed to make complex analysis easier to run, inspect, repeat, and report — without forcing every scientist to become a command-line expert.
You describe the analysis you need in plain English. Bioinformagic translates that request into a structured workflow, shows you the steps, runs the analysis in your own environment, and produces traceable outputs, figures, and reports. The goal is not to hide the analysis behind AI, but to make each step easier to understand, control, and reproduce.
Bioinformagic is currently in development. Researchers who join the waitlist will receive early access updates, priority feature-request opportunities, and 6 months free when Bioinformagic launches. No credit card is required to join.
Bioinformagic is designed with privacy at its core. Analyses run in your own environment, so your raw data does not need to be uploaded to a cloud platform. You stay in control of your files, your workflows, and your results.
Bioinformagic is opening early access to researchers who want transparent, reproducible bioinformatics that runs where their data already lives.