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From FASTQ to Figures.
RNA-seq and epigenomics analysis courses — plus practical stress and time management training — built by a biologist who taught herself bioinformatics, for people standing exactly where she once stood.
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See what's inside a courseÂ
Courses
The gap nobody talks about
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You can run the experiment. You can generate the data.
Then the FASTQ files land on your desk — and the tutorials assume you already know what a BAM file is.
Most bioinformatics training is built by computer scientists, for computer scientists. Ours isn't.
What we offer
RNA-Seq Analysis                    Â
From raw reads to differential expression to publication-ready figures. No cluster access required — runs on any laptop.
ChIP-seq / ATAC-seq / CUT&Tag Analysis
For teams working with epigenomic data who want to understand their own pipeline, not just run someone else's script.
Stress & Time Management for ScientistsÂ
Practical, tested methods for handling deadline pressure — built from real research-life experience, not generic wellness advice.
Why Our Format WorksÂ
How you'll actually learn this:
- Rewatch anytime. Stuck on a step? Watch it again. No shame, no re-booking a session.
- Practice with your own data. Every lesson is built to be followed step-by-step, not just observed.
- Live Zoom sessions. For the questions a video can't answer — ask us directly.
- Fits a full calendar. No fixed class times except the optional live sessions. Built for people who are already busy.
Graduate School for Biological Sciences
University of Cologne
Graduate School of Quantitative and Molecular Biosciences Munich
LMU Munich
Bonn International Graduate School (BIGS) Immunoscience and Infection
University Bonn
Research Training Group 2824
University Medicine Göttingen
Who's behind this
We're not a course platform run by marketers. Dr. Michaela Höhne-Wiechmann is a biologist who taught herself bioinformatics — every wrong turn, every three-hour debugging session included — and now runs RNA-seq analysis for TRON, has built and maintains an internal R package for differential expression workflows, and has trained colleagues internally before turning it into a course for anyone who needs it.
About us
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"The course really helped to demystify the processing of data on a command line and using HPC clusters, and I'll definitely be able to use the practical skills in analysing ChIP-seq data later in my PhD. "
Conrad Fallon - PhD Candidate QBM LMU Munich
 "I recently took part in an online course and it was very good! All of the materials are prepared in an online platform which is great to work on from anywhere and lets you keep up at your pace. Our instructor was also super helpful and friendly and answered all our questions (from newbies such as myself to those with more experience)! I especially liked this course due to the flexibility and clarity of the content, it is particularly of interest for anyone who is combining it with other course load or experiments! 5 stars!"
Carolina Cintora - PhD candidate University of Cologne
"I participated in the course "tackling stress and difficulties during a PhD" and think it is a very helpful course which should be mandatory for every PhD candidate to learn about the biggest obstacles and how to solve them. Additionally, the tools which were taught by Elanto Science will not only help me with my scientific career but also with my personal development. Thank you!"
Marco Niestroj - PhD Candidate University of Cologne