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
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The Bioinformagic blog explains how to run genomics analyses — differential expression, single-cell workflows, and privacy-first pipelines — without writing code, while keeping raw data on your own network.
Practical guides on private, reproducible bioinformatics — RNA-seq, single-cell, and variant workflows in plain English.
- Tutorials
- Privacy
- Product
- Engineering
- Perspective
- Tutorials
PrivacyYour sequencing data should never have to leave your institution's network
Most 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
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ProductFrom a plain-English question to a publication-ready figure
Single-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
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EngineeringReproducibility shouldn't be the hardest part of your analysis
If re-running last year's analysis fills you with dread, the problem isn't you — it's that environments rot. Here's how pinned, captured workflows fix that quietly.
Bioinformagic
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PerspectiveYou don't need to become a programmer to do bioinformatics
Learning to code is a worthwhile detour — but it shouldn't be the toll you pay to analyse your own data. A look at the real gap between wet-lab biology and the terminal.
Bioinformagic
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Common questions
Direct answers about what we publish and how it relates to private, reproducible genomics.
What does the Bioinformagic blog cover?
Tutorials and product notes on RNA-seq, single-cell analysis, variant calling, privacy-first architecture, and reproducible workflows — all aimed at biologists who want rigorous results without writing pipeline code.
Can I run RNA-seq differential expression without learning R or Python?
Yes. Articles walk through describing your comparison in plain English, reviewing a transparent DESeq2 workflow, and reproducing figures locally — without uploading raw FASTQ files to a third-party cloud.
Does Bioinformagic require uploading sequencing data?
No. The blog and product are built around local-first analysis: pipelines run on your workstation, lab server, or HPC inside your institutional network while raw reads stay where they already live.
How often is blog content updated?
Posts are published as the product evolves. Each article exposes published and last-modified dates in HTML and BlogPosting schema so search engines and AI answer engines can weight freshness.