Interuniversity Institute of Bioinformatics in Brussels
The Interuniversity Institute of Bioinformatics in Brussels (IB)² is a collaborative bioinformatics research environment based on the La Plaine campus of the Université Libre de Bruxelles. It aims to bring together research groups requiring bioinformatics and computational biology expertise, providing infrastructure, fostering interdisciplinary collaborations, and reaching scientific excellence through training, education, and innovation. The institute supports research in various domains including machine learning, structural bioinformatics, genomics, transcriptomics, epigenomics, evolutionary dynamics, and systems biology, with a strong emphasis on medical and biological applications.
Industries
Nr. of Employees
small (1-50)
Interuniversity Institute of Bioinformatics in Brussels
Products
Integrated genomics analysis for clinical research
Project-level integrated genomics workflows combining sequencing data, annotation and interpretation to support translational research and clinical studies.
Computational pipeline for rational design of epitope-specific binding reagents
In silico pipeline for the design and testing of epitope-specific binding reagents using structural bioinformatics and sequence-based evaluation to prioritise candidates.
Protein biophysical prediction methods from sequence
Methods and web-accessible predictions that estimate protein dynamics, disorder and other per-residue biophysical properties directly from amino-acid sequence and experimental NMR-derived features.
Integrated genomics analysis for clinical research
Project-level integrated genomics workflows combining sequencing data, annotation and interpretation to support translational research and clinical studies.
Computational pipeline for rational design of epitope-specific binding reagents
In silico pipeline for the design and testing of epitope-specific binding reagents using structural bioinformatics and sequence-based evaluation to prioritise candidates.
Protein biophysical prediction methods from sequence
Methods and web-accessible predictions that estimate protein dynamics, disorder and other per-residue biophysical properties directly from amino-acid sequence and experimental NMR-derived features.
Services
Computational research collaborations and consulting in bioinformatics
Collaborative research projects and consulting across universities, hospitals and external partners in computational biology, genomics and bioinformatics.
Access to high-performance computing resources
Provision and facilitation of access to university high-performance computing infrastructure for bioinformatics analyses.
Training, seminars and academic teaching in bioinformatics
Organization of seminars, student internships, master thesis supervision and hands-on training events in bioinformatics, computational biology and quantitative methods.
Technology transfer and industry-partnership facilitation
Advisory and facilitation services for technology transfer, industry partnerships and commercialization pathways arising from academic research.
Computational research collaborations and consulting in bioinformatics
Collaborative research projects and consulting across universities, hospitals and external partners in computational biology, genomics and bioinformatics.
Access to high-performance computing resources
Provision and facilitation of access to university high-performance computing infrastructure for bioinformatics analyses.
Training, seminars and academic teaching in bioinformatics
Organization of seminars, student internships, master thesis supervision and hands-on training events in bioinformatics, computational biology and quantitative methods.
Technology transfer and industry-partnership facilitation
Advisory and facilitation services for technology transfer, industry partnerships and commercialization pathways arising from academic research.
Expertise Areas
- Computational genomics and epigenomics
- Structural bioinformatics and protein biophysics
- Machine learning for biological data
- Systems biology and dynamical modelling
Key Technologies
- Next-generation sequencing analysis
- Mass spectrometry-based proteomics
- Nuclear Magnetic Resonance (NMR) data analysis
- Machine learning and deep learning