This introduction to functional analysis will elucidate the biology behind genes and reveal the significance of your data. Online tools to annotate and analyse human and plant datasets, such as Gene Ontology Enrichment Analysis and Pathways Analysis, will be used to unravel the meaning of your gene set.
Organised by VIB Technology Training and ELIXIR Belgium
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:
This two-day workshop will introduce the basic concepts of comparative and functional -omics data analysis in plants through lectures and practical hands-on sessions. Plant biologists and geneticists with an interest in bioinformatics and data analysis are encouraged to attend this training. After this workshop, you will have a good understanding of the organisation of plant genomes (gene colinearity and synteny), the evolution of plant gene families, orthologs and (in)paralogs, and the different systems used to describe gene functions.
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.
Get you started with Git from zero (note that if you already use Git, this workshop will be too basic for you). We'll explore Git on the command-line and its interaction with GitHub. The following points will be addressed:
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.
Get you started with Git from zero (note that if you already use Git, this workshop will be too basic for you). We'll explore Git on the command-line and its interaction with GitHub. The following points will be addressed:
The course will give an introduction to containers (Docker & Singularity) which are great components to achieve portability and reproducibility of your analysis. You will learn how to use containers and how to build a container from scratch, share it with others and how to re-use and modify existing containers. After an extensive explanation on Docker containers, Singularity will be highlighted as well.
Objectives
The term data space has gained a lot of traction lately, specifically with the upcoming European Health Data Space legislation. The definition of data space is still under discussion. However, several sources describe it as "a decentralised infrastructure for trustworthy data sharing and exchange in data ecosystems, based on commonly agreed principles". In recent years, a series of health data spaces have arised. At the moment, the strategic oversight is lost and many questions remain.
There is great potential in large-scale collaborative efforts using health data. However, it remains challenging to kick-start these types of initiatives. This hands-on and interactive workshop will address the following key questions and challenges for initiating a project: