Summary
Biochemical reactions are fundamental to life processes, for example, in providing energy or producing substances. However, metabolism forms a large and complex network which is still difficult to understand. In this talk Professor Schreiber will discuss a range of questions related to representing, simulating, analysing, and visualising metabolic processes, especially how computational methods can help in these tasks. He will present a comprehensive pipeline of methods and tools ranging from databases for multi-level representation of metabolic pathways/models and related *omics data; to modelling, simulation, and evaluation of metabolic processes; to visualisation and visual analytics methods for exploring analysis results. Applications from biology will present insights obtained with these methods. Finally, he will provide an outlook towards multi-scale and high-throughput approaches to modelling and visual analytics of metabolism. Within the framework of the "Dresden Talks on Interaction & Visualization" a particular focus of this presentation will be visualisation and interaction methods.
Vita
Falk Schreiber graduated, obtained a PhD and a habilitation in Computer Science from the University of Passau (Germany). In 2001 - 2002 he worked as a Research Fellow and Lecturer at the University of Sydney (Australia). Since 2003, he has been head of a bioinformatics research group at the
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben (Germany). In 2007 he was appointed professor of Bioinformatics at the Martin Luther University Halle-Wittenberg (Germany) and additionally appointed Bioinformatics coordinator at the IPK Gatersleben. He is an adjunct professor at Monash University Melbourne (Australia).
Falk Schreiber is researching topics in Bioinformatics and Computational Systems Biology since more than 15 years. His main interests are the analysis of structure and dynamics of biological processes and networks, visual computing and visual analytics of biological data, integrative analysis of *omics data, as well as modelling and analysis of metabolism.
