This course is organized over two full days. We will start with a brief recap of  the basics of Python, followed by exploring several libraries for data manipulation and visualization. With the help of plenty of hands-on exercises, you will learn to fetch biological data and sequencing files from online databases, and be able to parse and analyze this data. There will be time to highlight specific requests of topics from participants. 

This course consists of a live session on counting and differential expression analysis in R and a Q&A session to answer all the questions that arise when trying the analysis on your own data. The live session will demonstrate R tools to generate count files like featureCounts, and summarizeOverlaps are demonstrated, as well as how count files from HTSeq-Count, FeatureCounts, Salmon or Kallisto are used to identify differentially expressed genes.

This course gently introduces programming to new programmers. There are plenty of opportunities to apply and practice what you learn, and ask questions in a safe place. Furthermore, surprise yourself by building a substantial project over the 3 course weeks. We use the popular Python programming language to prepare you for real-world research application of what you learn.

Objectives

The Snakemake workflow management system is a tool to create reproducible and scalable data analyses. Workflows are described via a human readable, Python based language. They can be seamlessly scaled to server, cluster, grid and cloud environments, without the need to modify the workflow definition.

This training is an introduction to 'Bulk RNA-Seq analysis for differential expression', Hands-on introduction to NGS variant analysis', and 'Hands on introduction to ChIP-Seq analysis'. If you want to follow one of these trainings and you have no experience with NGS data you should follow this introduction first.

Objectives

This two-day course (20 and 27 May 2021) will give you an insight in Docker & Singularity containers, and the Nextflow analysis pipeline.

This course gently introduces programming to new programmers. There are plenty of opportunuties to apply and practice what you learn, and ask questions in a safe place. Furthermore, surprise yourself by building a substantial project over the 3 course weeks. We use the popular Python programming language to prepare you for real-world research application of what you learn.
 

Objectives

After completing this course, you will be able to:

<< Don't remove this content >>

This is the only content of type "Training material".

This will load the description of the Training material taxonomy to the web page.