Educators:
Dilmurat Yusuf, Bora Uyar

Date:
29.06.2017

Location:
MDC, Berlin

Contents:
1. Basics of Galaxy: pages, histories, data libraries, workflows, libraries
2. Types of files typically used in RNA-seq analysis
3. QC (quality control) of the raw sequence data
4. Trimming the reads for quality and for adaptor sequences
5. Aligning RNA-seq reads
6. Finding differentially expressed genes
7. Functional enrichment analysis

Learning goals:
In this course we aim to give an understanding and hands-on experience of how to do file handling, input/output operations, chaining different tools to each other and being able to re-use workflows in Galaxy. We will use RNA-Seq differential expression analysis as a model to demonstrate the capabilities of Galaxy.

Prerequisites:
The target audience of this course is wet-lab biologists with limited bioinformatics skills

Keywords:
Galaxy, bioinformatics workflows, RNA-seq, differential expression

Tools:
Galaxy, FastQC, TrimGalore, Tophat, HTseq-count, DEseq2, go:Profiler

Contact:
Dilmurat Yusuf: This email address is being protected from spambots. You need JavaScript enabled to view it.
Bora Uyar: This email address is being protected from spambots. You need JavaScript enabled to view it.