Whole transcriptome data analysis

Overview

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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.

Audience

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

“My research focus is on RNA sequencing, infectious diseases and next generation sequencing. Attending this course helped me understand the basics, got me career advice and extended my network. Overall, it made me a better researcher.” – Abhay Deep Pandey, Translational Health Science And Technology Institute, India

“Excellent course on the complete spectrum of RNA-Seq. I would highly recommend this course to all biologists.” – Issaac Rajan, King Abdullah University of Science and Technology, Saudi Arabia

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

Sponsors

Sponsorship opportunities

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