Organisations
Department of Plant Biotechnology and Bioinformatics Ghent University
Researchgroup Bio-Informatics HOWEST
Interuniversity Institute of Bioinformatics in Brussels Vrije Universiteit Brussel
Life sciences are rapidly converting to a “whole genome” approach, with large volumes of data becoming available by means of high-throughput technologies(e.g., genomics, transcriptomics, proteomics). Collecting and analysing such a vast amount of data needs a close and continuous interdisciplinary collaboration between life scientists, engineers, computer scientists and bioinformaticians. Several teams at ULB and VUB adopt bioinformatics ...
Laboratory of Multi-omic Integrative Bioinformatics KU Leuven
Modern life science research is a highly multidisciplinary endeavor often requiring the joint analysis of highly heterogeneous data sources, such as large-scale single-cell multi-omics datasets, structured ontology-driven annotations, unstructured published literature and imaging data. Using a holistic approach, one can often detect patterns which provide deeper insights into the biological and/or pathophysiological processes under study. ...
Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat) KU Leuven
The Biostatistical Centre combines theoretical biostatistical research with pratical data analysis. The major research areas of the group are: repeated measurements, clinical trials, surrogate endpoints, missing data, mixed models, Bayesian statistics. The Centre has organized workshops, international and national courses in collaboration with institutes from abroad such as University college of London, Free University of Berlin, Lancaster ...
VIB Bioinformatics Core Flanders Institute for Biotechnology
VIB Bioinformatics Core Flanders Institute for Biotechnology
Computational Modelling Vrije Universiteit Brussel
The Computational Modeling Lab, COMO, is headed by Prof. dr. Bernard Manderick and Prof. Dr. Ann Nowé, and has on average 10 PhD students. The research group focuses on the one hand on the modelling of natural phenomena, and on the other hand on developing algorithms for complex problem solving inspired by these natural phenomena. COMO has experience in a wide range of learning techniques such as Reinforcement Learning, Genetic Algorithms, ...
Translational Imaging Research Alliance Vrije Universiteit Brussel
The goal of translational research is to translate research results from fundamental research into new clinical applications. Translational research in the field of imaging can be divided into three topics: 1. Imaging equipment The first objective of the alliance is to make available the existing infrastructure for researchers of the two university communities and to establish a common strategy for future heavy investments. 2. Image ...