Date: Tuesday 17 July 2018, 11:00 -  12:00 (BST) Abstract: This webinar will show how the interpretation of metabolomics data can be boosted by deploying systems biology approaches. Systems biology-enhanced analysis of data can provide insights into the molecular mechanisms that originated the observed metabolic profiles, enhancing the impact of metabolomics studies. In this webinar we provide an overview of system…
Date: Friday 6 July 2018, 10:00 -  11:00 (BST) Abstract: Metabolomics datasets are the outcome of biochemical events ruled by enzymatic reactions. All these reactions, and related substrates and products, can be gathered in a single object called a metabolic network or in a list of metabolic pathways. In this webinar, Fabien Jourdan, INRA,  will first present how pathways can be…
Date: Wednesday 18 April 2018, 16:00 -  17:00 GMT Abstract: 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 mathematical background, and the potential pitfalls due to biases and overfitting, a good understanding of each step as well as…
Date and Time:  Wednesday 4th  April 2018, 14:00 – 15:00 GMT Abstract Ola Spjuth, (Uppsala University), in his webinar on Challenges and Opportunities with Virtual Research Environments, will talk about Virtual Research Environments (VREs) and their application to data analysis. In his presentation, Ola,  will explain the motivation and approach taken by the PhenoMeNal consortium when developing a cloud-agnostic on-demand VRE for metabolomics implemented using…
Date and Time:  Wednesday 7 February 2018, 16:00 -  17:00 GMT Abstract:  In this webinar, Dr. Timothy Ebbels, Faculty of Medicine, Department of Surgery & Cancer, Imperial College London, will talk on how a typical analysis may benefit from up-scaling to a cloud solution, using a conventional NMR tool, BATMAN and examine how it performs on differing levels of compute resources. The tests were carried…