There are still some seats open for our BioSB RNA-seq data analysis course. Register now! *BioSB RNA-seq data analysis course* Date: 9-13 May 2022 Location: Breda, The Netherlands Organizers: BioSB research school, Erasmus Medical Center and Avans Hogeschool Website: https://www.dtls.nl/courses/rna-seq-data-analysis-2022/ --> *registration is open!* *Course coordinators* Andrew Stubbs, Erasmus MC Miaomiao Zhou, Avans University of Applied Sciences *Course credits* 1.5 ECTS *Course overview* This course covers the basic concepts and methods required for RNA-seq analysis. Particular attention is given to the data analysis pipelines for differential transcript expression and variant calling. Presentations are followed by hands-on computer sessions using Linux command line tools, Galaxy and R to directly apply and get more insight in the analysis methods. One afternoon is dedicated to the analysis of a new data set, allowing the students to refresh and extend their analysis skills. Students can also bring their own RNA-seq data for practicing. We will also explore the potential of long-read based RNA-seq in a Friday afternoon literature club. After the course, the presentations, practicals and test data will remain available for future reference. Software packages used are freeware. *Target audience* Participants for the RNA-seq course should preferably have participated in a general next-generation sequencing (NGS) course or otherwise have some hands-on experience with NGS data analysis. The course is aimed at PhD students and post-docs, but scientific programmers and data analysts with a background in biology and bioinformatics may also attend. *Learning outcomes* After having followed this course: - The participant has insight into the issues involved in good experimental design of RNA-seq experiments. - The participant knows and can perform analysis steps in reference-based and de novo RNA-seq data analysis, and visually present and judge the results for: - quality control and preprocessing, - finding differentially expressed genes, - variant calling, - cluster analysis, - classification analysis, - pathway testing. - The participant has insight in various RNA-seq platforms, their specificity in solving certain biological questions, and the bottlenecks in these applications. - The participant has insight into the different algorithms and options available to perform an analysis, and can make an informed choice. - The participant knows the pitfalls of existing analyses and is able to critically judge the statistical analysis of RNA-seq data performed by others. Read more and register now via: https://www.dtls.nl/courses/rna-seq-data-analysis-2022/ BioSB research school www.dtls.nl/biosb education@biosb.nl [image: signature_1684185780] <https://www.dtls.nl/biosb/>
