Workshop - Transcriptome Analyses with RNASeq
During the first snowfall of the season, we held our first TRR356 Z03-Bioinformatics workshop titled "Transcriptome Analyses with RNASeq" from November 28th to 30th. It was a busy and productive few days with 17 participants from LMU, TUM, University of Tübingen, IPB Halle, and MPI Potsdam, most of whom are PhD candidates.
We covered the analysis of RNASeq data from experimental design to functional analyses of candidate genes. First, there was an overview of gene expression using RNASeq, followed by a practical introduction to using bash and the command line. We went through the entire process of quality control, and how to trim and map RNA seq data using command line tools. The workshop also included learning about differential gene expression analyses using DESeq2 in R, plus some advanced topics like gene set enrichment, pathway, and network analyses.
Organizing this workshop was a team effort. Nadia Kamal and Maxim Messerer put it all together and had great support from I01, namely Stephan Hachinger, who introduced the concept of high-performance computing, and Alex Wellmann, who helped set up the computational environment for the workshop. Vanda Marosi gave the practical introduction to using bash and was a tremendous support throughout the whole course.
It was an enriching experience, both teaching and learning together. We think and hope everyone left with a lot of new skills and knowledge.