Whole transcriptome data analysis – Course and Conference Office

EMBL Course

Whole transcriptome data analysis


Registration is not yet open for this event. If you are interested in receiving more information please register your interest.

Course overview

This course will teach the biological researchers how to analyse biological data sets using open-source software. Most of the analysis will be performed with docker4seq and rCASC packages, which was developed to facilitate the use of computing demanding applications in the field of NGS data analysis. Docker4seq and rCASC packages use docker containers that embed demanding computing tasks (e.g. short reads mapping) into isolated containers. This approach provides multiple advantages: the user does not need to install all the software on its local server, the results generated by different containers can be organised in pipelines and reproducible research is guarantee by the possibility of sharing the docker images used for the analysis.

Computers for hands-on exercises will be provided along with demo data sets.


This course was developed for biological researchers as the intended audience. Basic knowledge of massively parallel sequencing (MPS) is desirable, however R-coding skills and deep knowledge of statistics are not necessary.

What past participants say about the course

This course has been an incredibly enriching and valuable experience for me, providing comprehensive knowledge, practical methodologies, and invaluable networking opportunities. The instructors’ expertise and the hands-on approach made the learning process engaging and enjoyable. The interactive sessions allowed us to apply what we learned to real-world scenarios. Also, meeting fellow participants from diverse backgrounds and sharing ideas was inspiring. The networking opportunity created a collaborative and supportive environment, fostering future collaborations. I am grateful to the EMBL team for organizing this exceptional course. The high-quality organization, knowledgeable instructors, and dedicated staff made it an outstanding learning environment. Thank you for providing this excellent learning opportunity.” – Oana Baldasici, The Oncology Institute “Prof. Dr. Ion Chiricuta” Cluj-Napoca, Romania

This course has orientated me in the world of bioinformatics, and has given me the tools to find a path through my data analysis. It has also given me a group of friends to call when I have problems along the way. I wish I could do it again!” – Alysha Burrows, Manchester Metropolitan University, UK

Please see EMBL’s COVID-19 safety recommendations for testing and other requirements to attend this on-site course.


Sponsorship opportunities

We offer a variety of event sponsoring possibilities, with the flexibility to select a set sponsorship package or combine individual sponsorship options to suit your event budget. Discounts are available for companies sponsoring multiple events at EMBL Heidelberg. View other events, or contact sponsorship@embl.de for further information.

If you are interested in becoming a media partner of this event, please visit our media partnerships webpage.


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Please also note that:

  • EMBL never provides attendee lists for purchase. Any offers of such are fraudulent.
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  • All payments are on invoice.

Suspicious communications purportedly from, for or on behalf of EMBL should be reported to EMBL at the following email address sponsorship@embl.de.

Date: 1 - 6 Jun 2025

Location: EMBL Heidelberg

Venue: EMBL Advanced Training Centre


  • Marco Beccuti
    • Vladimir Benes

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