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ORVAL (Oligogenic Resource for Variant Analysis) is a tool that allows for the exploration of predicted candidate disease-causing variant combinations, to aid in uncovering the causes of oligogenic diseases.

Gentle hands-on introduction to Python programming

 

This combined 3-day 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

  • 17 November 2022

Genomic Data Infrastructure Launch Announcement

The Genomic Data Infrastructure - a new project funded by the European Commission under the Digital Europe Programme - launches today!

ELIXIR - Flanders Bioinformatics Infrastructure for Sustainable Agriculture and better Health Society

1 January 2017 - 31 December 2018

With this project, funded by the Research Foundation Flanders (FWO) and the Department of Economy, Science and Innovation of the Flemish government (EWI), we aim to expand the activities of the Belgian ELIXIR node. 

ELIXIR Belgium: Building a bioinformatics community

1 January 2016 - 31 December 2017

This grant, provided by the Department of Economy, Science and Innovation of the Flemish government (EWI), has the goal to start building the Belgian ELIXIR node.

Research Data Management: your ally on the way to your publication

In this course you will learn how to use Research Data Management (RDM) in order to improve the writing of your publications and potentially increase its impact.

 

Starting from basic concepts together with hands-on activities and discussions, during two days you will learn how to standardise, document and submit your data in a repository and how all of this will help you to underpin your publication.

 

Objectives

Introduction to Python - on site at Wageningen

 

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:

Analysis of 16S rRNA metagenomic experiments

 

This training will start with the presentation of a 16S pipeline in a Galaxy environment. This will enable the preprocessing of the data going from raw reads to taxonomic tables and phylogenetic trees.
The 2nd part of the training will give an overview of numerical ecology and takes part entirely in R (meaning that knowledge of R is mandatory).

 

Objectives

 

Nextflow for reproducible and automated data analysis

 

You will learn how to use Nextflow for building scalable and reproducible bioinformatics pipelines and running them on a personal computer, cluster and cloud. Starting from the basic concepts we will build our own simple pipeline and add new features with every step, all in the new DSL2 language.

 

Objectives

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