RNA-Sequencing (RNA-Seq) has become a widely used approach to study quantitative and qualitative aspects of transcriptome data. The variety of RNA-Seq protocols, experimental study designs and the obtained data processing strategies greatly affect downstream and comparative analyses.
Unless the low entrance barriers and easy-to-use experimental protocols, the challenge of proper, transparent and reproducible data analyses are still a bottleneck. In this training, an introduction to the user-friendly and openly available Galaxy framework for scientific data analyses is given.
Contents:
- introductory methods for the first data exploration and quality control of NGS datasets,
- concepts for genome alignment and data visualization of the subsequent results and
- a showcase project that involves the analysis of clinical NGS expression data.
Registration Deadline: February 12, 2018
More information available here