June 19, 15.30 -17:00h, online
Online Benelux Metabolomics Seminar on
"Metabolomics @SILS (Swammerdam Institute for Life Sciences), UvA”
Organised by Prof. Aalt-Jan van Dijk, Biosystems Data Analysis Group and dr Gertjan Kramer, Swammerdam Institute for Life Sciences, UvA, NL
Summary
The Biosystems Data Analysis group (www.bdagroup.nl) at the Swammerdam Institute for Life Sciences (SILS) develops advanced methods to analyze complex biological and biomedical data. I will give an overview of some of the methodology and applications relevant for metabolomics research. Much of this takes place at the interface between metabolomics and bioinformatics, and aims to provide biological insights resulting from integrating metabolomics data with measurements from other omics technologies. The computational methodology ranges from methods based on latent variables to summarize the systematic effects observed in high dimensional data (e.g. PARAFAC, ASCA) to protein-structure based machine learning to predict enzyme product specificity. Applications range from (i) signaling between plants and root-colonizing fungi to (ii) the analysis of human milk composition in order to find metabolite signatures linked to infant growth to (iii) using genome-scale metabolic models to predict species interactions and metabolite levels in the human gut.
Please register here.