Leibniz Institute on Aging - Fritz Lipmann Institute (FLI)
07745 Jena, Germany
For the course it is inevitable to bring your own notebook with you. To get everything running, at least 4Gb of memory (RAM) is required.
This course is designed for ~15 participants. If we receive (a lot) more applications, we will choose participants based on the relevance of their application and/or a first-come-first-serve basis. Your attendance is pending until confirmation after registration.
This workshop intends to introduce the graphical, web-based Galaxy RNA-workbench (https://usegalaxy.org) for customized analysis of RNA-Seq data. Therefore, we will present Linux and Docker backgrounds, introduce methods for exploration of NGS data and fundamental statistics. In practical tutorials, workflow development, functional predictions of RNAs and visualization strategies for metatranscriptomic data will be trained.
- Introduction to Galaxy RNA-workbench
- RNA-Seq data analysis and workflow development
- Fundamental statistics and file formats
- Functional RNA analysis
- Basic visualization
This workshop is intended for MSc/PhD students, postdocs and researchers with background in life science research. During registration please hand over a poster which presents a freely chosen topic to a broad range of researchers aiming to get in contact with each other and to exchange experiences.
The variety of RNA-Seq study designs and characteristic properties of studied organisms greatly affect bioinformatics analysis. As part of the RNA Bioinformatics center (RBC), which supports all RNA-related research within de.NBI (www.denbi.de), de.STAIR summarizes the expertise of participating laboratories to develop and maintain an flexible RNA-Seq analysis workbench for different RNA-Seq protocols, to be used locally or in a cloud environment as provided by the open source Galaxy platform for biomedical research.