About the seminar: This talk will look into methods for the integration and visualization of multimodal biological data, will present methods to reconstruct, simulate, and analyse detailed metabolic models, and explore the importance of ontologies and standards. Using examples from plant biology we will see how such methods can help to explore data and derive knowledge from it. Modern data acquisition methods in the life sciences allow the procurement of different types of data in increasing quantities, facilitating a comprehensive view of biological systems. As data is usually gathered and interpreted by separate domain scientists, it is hard to grasp multi-domain properties and structures. Consequently there is a need for the integration, analysis, modelling, simulation, and visualisation of life science data from different sources and of different types.
About the speaker: Falk Schreiber graduated, obtained a PhD, and a habilitation in Computer Science from the University of Passau (Germany). He worked as a Research Fellow and Lecturer at the University of Sydney and was head of a bioinformatics research group at the IPK Gatersleben (a Leibniz Institute in Germany). In 2007 he was appointed Professor of Bioinformatics at the Martin Luther University Halle-Wittenberg (Germany) and in 2014 Professor at Monash University. Falk Schreiber researches topics in Bioinformatics and Computational Systems Biology. His main interests are visual computing and visual analytics of biological data, analysis of structure and dynamics of biological networks, integrative analysis of ‘omics data, graphical standards for systems biology, as well as modeling and analysis of metabolism.
What: “Deriving knowledge from data – from integrating and visualising multimodal data to modelling metabolism” by Professor Falk Schreiber, Monash University
Where: Bio21 Institute Auditorium, 30 Flemington Rd, Parkville
When: Thursday 3 July 2014, 4.00pm – 5.00pm followed by light refreshments
Link & Registration: http://www.bio21.org/events-and-seminars/seminars/deriving-knowledge-from-data-from-integrating-and-visualising-mu