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.

Metatranscriptomics analysis examines how the microbiome responds to the environment by studying the taxonomic composition and functional analysis of genes expressed by the microbiome, using microbial community RNASeq data and subsequent metatranscriptomics workflows.

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 workshop will take you through the basic use of Git and GitHub. Git is a free and open source distributed version-control system designed to maintain code, track changes, recover old versions and collaborate with other developers.

Objectives

The ELIXIR Train the Trainer programme aims to build a network of trainers to allow them to benefit from reciprocal support and discussion. ELIXIR TtT courses aim to give new instructors tools and tips for providing an enriching learning experience to trainees, irrespective of topic, and to include best-practice guidance on course and training material development.

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 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.