Bioinformatics workshop – Next-Generation Sequencing data analysis using Galaxy
High-quality data analysis is essential for any successful high-throughput experiment. At the same time, many tools for the analysis are available only in a command line which is not accessible for everyone. Galaxy is an open source, web-based platform for data intensive biomedical research. Controlled through a graphical user interface, Galaxy can empower molecular biologists with the ability to explore their data without the necessity for coding or deep IT knowledge. This practically oriented workshop will guide participants through working with Galaxy to answer particular scientific questions. Specifically, we will explore Next-Generation Sequencing (NGS) datasets of DNA variants (DNA-Seq), gene expression (RNA-Seq), and protein-RNA interaction (CLIP-seq) experiments as example workflows. The workshop will be framed as a hands-on guided tutorial with additional time for individual exploration using Galaxy.
Laptop with a web browser and working internet connection (Eduroam or MUNI will be sufficient).
- Jelle Scholtalbers - EMBL
- Vojtech Bystry - CEITEC
- Jan Oppelt - CEITEC
- Martin Demko - CEITEC
- Panagiotis Alexiou – CEITEC
- Morning - Introduction to Galaxy - Jelle Scholtalbers, Martin Demko
- Afternoon - RNA-Seq Analysis: From Reads to Differential Expression - Jan Oppelt
- Morning - DNA-Seq Analysis: Identification of Variants - Vojtech Bystry
- Afternoon - CLIP-seq Analysis: Identification of RNA Binding Sites - Panagiotis Alexiou
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 692298.