Advanced NGS Course: RNA-seq data analysis (4th edition)


July 7-9, 2014


Leiden University Medical Center, The Netherlands

Course coordinators

Peter-Bram ‘t Hoen (LUMC), Andrew Stubbs (ErasmusMC), Jan Oosting (LUMC) and Celia van Gelder (Radboudumc/NBIC)

Course description

The BioSB research school and partners LUMC and ErasmusMC are organizing a 3-day course on RNA-seq data analysis from July 7-9, 2014. This is an advanced course for people with experience in NGS. The course will consist of seminars and hands-on command line, Galaxy and R practicals and will cover the analysis pipelines for differential transcript expression and variant calling. Examples will be taken from human and mouse studies. The course does not cover prokaryotic RNA profiling nor plant- and metagenomics aspects.

Course topics

– RNA-seq experimental approaches
– Alignment and de novo assembly
– Statistics for differential gene expression
– eQTL analysis and allele specific expression
– Variant calling and RNA editing
– Fusion transcript detection
– Small RNA profiling
– Software for RNA-seq data analysis

Course programme

The programme can be found here.

Target audience

Participants for the RNA-seq course should preferably have participated in the general NGS course or otherwise have demonstrated 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. Registrations will be handled on a first-come-first-served basis but experience and motivation will be reviewed. Seats have been reserved for participants in the FP7-funded project RD-Connect and Marie Curie European Training Network TranCYST.

Registration & information

You can pre-register for the next course (planned for 7-9 September 2015) via the pre-registration form.

Previous edition

You can find the website of the previous (3rd) edition of this course here.
You can find the website of the last (5th) edition of this course here.