EMBL Course
Applications for this event are not open yet. If you are interested in receiving more information please register your interest.
This course will teach biological researchers how to analyse biological data sets using open-source software.
In this course, AI is primarily used to support beginners in writing R scripts. Before attending the course, beginners can become familiar with AI-based programming assistance through a micro-credential course (MOOC) developed by the course organisers. (https://www.edvance.it/edvance/app/courseDetails/591)
The course provides an introduction to the fundamental approaches for analyzing bulk RNAseq, single-cell RNAseq, and single-cell multi-omics scRNAseq/ATACseq.
Most of the analysis will be performed with docker4seq and rCASC packages, which were 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.
“I came with high expectations and they were fully met. The balance between theory and hands-on work was perfect and the support was amazing.” – Janno Harjes, Axolabs GmbH, Germany
“This course offers an exceptionally clear and accessible introduction to RNA-seq analysis, perfect for researchers new to bioinformatics. The well-structured content and hands-on approach offer a solid foundation for independently analyzing RNA-seq data using open access and user friendly computational tools.” — Pedro Perdigão, Center for Neuroscience and Cell Biology, University of Coimbra, Portugal
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 conferences, 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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Date: 30 May - 4 Jun 2027
Location: EMBL Heidelberg
Venue: EMBL Advanced Training Centre
Organisers:
Contact: EMBL Events
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