Hi everyone,
If you’re currently overwhelmed by the number of online-only bioinformatics courses and you’re specifically looking for in-person, hands-on training, we’re sharing our ecSeq 2026 workshop dates (Leipzig, Berlin & Munich, Germany).
We’re intentionally in-person first (4 out of 5 courses in 2026). Online learning can be great for getting an overview - but if your goal is to actually run analyses, troubleshoot errors, and understand your outputs, the biggest learning gains usually happen at the keyboard with a trainer in the room: immediate feedback, live debugging, and the kind of “why is my pipeline failing?” questions that are hard to resolve asynchronously.
2026 lineup (English, hands-on)
Online (1 course)
- Nextflow pipeline development - Jan 19–21, 2026 (online, live)
In-person (4 courses)
- NGS data analysis + variant calling (QC -> mapping -> VCF) - Feb 24–26, 2026 (Munich)
- Single-cell RNA-seq (Cell Ranger + Seurat; integration/batch effects) - Mar 23–25, 2026 (Berlin)
- NGS Epigenomics (bisulfite-seq / ChIP-seq / ATAC-seq; multi-omics interpretation) - May 6–8, 2026 (Leipzig)
- 10th Berlin Summer School: NGS data analysis (1-week intensive) - Jun 15–19, 2026 (Berlin)
Practical notes:
- Seats are limited (first-come, first-served).
- Registration & full programs are here: https://www.ecseq.com/workshops/ngs-data-analysis-courses
Happy to answer questions here (who it’s for, prerequisites, which course fits which project).

2 answers
Just to add a personal note on top of the official announcement: I’ve found that online courses are great for getting a first overview, but whenever I really wanted to use bioinformatics in my own projects, in-person workshops made a huge difference for me.
From a participant’s perspective, in-person courses have a few clear advantages:
- Faster troubleshooting - you can show your screen, error messages and data directly and get immediate, targeted help instead of going back and forth in a forum or chat.
- Deeper understanding, not just button-clicking - you can ask “why are we doing this step?” in the moment, and the trainer can explain it in the context of your workflow.
- Learning by doing (not just watching) - you actually type the commands, fix mistakes and see how to recover when things go wrong, which is exactly what you need back in the lab.
- Structured focus time - being physically in a room for 2–5 days, away from other duties, makes it much easier to really dive into the material without constant interruptions.
- Peer learning - you hear questions from others, see different datasets/problems and pick up solutions you wouldn’t have thought to ask about.
- Better long-term retention - the combination of hands-on practice, discussion and immediate feedback tends to stick much better than passively consuming content.
Online formats definitely have their place, especially to get started or to revisit specific topics – but for building confident, day-to-day bioinformatics skills, I strongly prefer in-person training.
Important update: We had to move our epigenomics course from Munich to Leipzig in May!
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