BioMaGNet - Bioinformatics and Modeling: from Genomes to Networks
From 01-01-2007 to 31-03-2012
Website: http://www.kuleuven.be/biomagnet/
Description
During the last decade, biology has faced a technological revolution with the development of high-throughput methods for the characterization of genome sequences, transcriptome, and proteome, giving rise to unprecedented amounts of biological data. However, this technological revolution is only beginning to result in a scientific revolution, and we are still far from understanding the function of any genome, even for the simplest and best-characterized model organisms. Beyond the problems of the relatively low quality of high-throughput data, an important obstacle is the inherent complexity of biological processes, whose emerging properties cannot be understood from the simple sum of individual component properties. The field of dynamical modeling has a long tradition of analyzing complex systems, but has generally been restricted to small networks with parameters characterized at a high resolution. The integration of genome, transcriptome, and proteome data into dynamical models of biological processes represents one of the main challenges of current bioinformatics. The aim of this network is to bring together expertise ranging from high-throughput data analysis and reverse engineering to dynamical modeling with the goal of bridging the gap between the domains and serve as an enabler for systems biology. The approaches and software tools developed by the respective teams will be combined for an integrative analysis of a few carefully selected model systems.Benefits of the network include (1) sharing of methods and complementary experience between groups traditionally involved in the complementary fields of genome annotation, analysis of omics data, and dynamical modeling; (2) development of a conceptual and practical (software) framework for the integration of genomics, bioinformatics, and modeling approaches; and (3) strengthening of the position and visibility of Belgium in this active research domain. Furthermore, the network will be leveraged to increase the quality of the training of our Ph.D. students and postdoctoral researchers
Team
- Kathleen Marchal, Co-promoter
- Yves Moreau, Co-promoter
- Bart De Moor, Promoter
- Kevin Bruggeman, Team member
Financing
Funding: BELSPO - BELSPO
Program/Grant Type: IUAP - Interuniversity Attraction Poles Programme
Events
2/09/2024:
PhD defense - Martijn Oldenhof
Machine Learning for Advanced Chemical Analysis and Structure Recognition in Drug Discovery
3/09/2024:
Meet the Jury Igor Tetko on Advanced Machine Learning in Drug Discovery
12/09/2024:
Multimodal analysis of cell-free DNA for sensitive cancer detection in low-coverage and low-sample settings
Seminar by Antoine Passemiers
News
STADIUS Alumni Herman Verrelst – new CEO of Biocartis
08 June 2017
Herman Verrelst, the founder of KU Leuven spin-off Cartagenia, who has been working in Silicon Valley, US for the last few years will be returning to Belgium to follow the steps of Rudi Pauwels as CEO of the Belgian diagnostic company, Biocartis.
Supporting healthcare policymaking via machine learning – batteries included!
29 May 2017
STADIUS takes the lead in the data analytics efforts in an ambitious European Project MIDAS.
Marc Claesen gives an interview about his PhD for the magazine of the Faculty of Engineering Sciences "Geniaal"
10 February 2017
Did you know that in Belgium approximately one third of type 2 diabetes patients are unaware of their condition?
Joos Vandewalle is nieuwe voorzitter KVAB
09 October 2016
Op 5 oktober 2016 heeft de Algemene Vergadering van de Academie KVAB Joos Vandewalle verkozen tot voorzitter van de KVAB.