Ola Spjuth

Virtual Research Environments (VREs) are systems that assist researchers by providing an environment with the necessary tools and data, backed by an appropriate e-infrastructure, enabling them to carry out research e.g. data analysis. There can...

Steffen Neumann

Metabolite identification is a crucial step when trying to understand e.g. the courses of a disease on the metabolomic level. In this webinar we will briefly introduce the MetFrag system and then focus on using MetFrag in Galaxy as part of the...

Kenneth Haug

This quick tour provides a brief introduction to the EBI's metabolomics resource: MetaboLights .

Tim Ebbels

Metabolomic datasets are becoming increasingly large and complex, with multiple types of algorithms and workflows needed to process and analyse the data. This makes it difficult for researchers to make sense of their data without access to...

This course provides a basic introduction into the rapidly emerging field of metabolomics and its importance and applications.

Reza Salek

Join Reza Salek on an introductory tour of metabolomics. This webinar will help you understand what metabolomics is and how it can be used to inform biological research. It will also introduce the basics of the analytical technologies...

The PhenoMeNal Gateway is the portal to your own PhenoMeNal Cloud Research Environment (CRE) containing an array of essential metabolomics applications, all available through a user-friendly Galaxy workflow environment. This course will give you...

Pablo Moreno

PhenoMeNal aims to bridge the gap between cloud computing and metabolomics researchers by providing the ability to create Cloud Research Environments (CRE) for metabolomics data analysis. A PhenoMeNal CRE is a small cluster of computers with...

Etienne Thévenot

Statistical analysis offers powerful approaches to mine complex and high-dimension datasets, find significant features, and build prediction models with high-prediction performance. Due to the high number of methods available, their complex...