VIB scientists overview

Bioinformatics

  • Stein Aerts Lab

    • ​cellular decision making and genome regulation
    • single-cell transcriptomics and epigenomics
    • systems biology of gene regulation
    • gene regulatory networks in the Drosophila brain and retina
    • high-throughput enhancer assays and computational enhancer models
  • Cédric Blanpain Lab*

    • ​embryonic development
    • stem cells and adult homeostasis
    • stem cells and tumor initiation
    • cancer stem cells
  • Peter Carmeliet Lab

    • ​Vascular metabolism & (lymph)angiogenesis
    • Omics analysis of healthy and diseased human and mouse endothelial/vascular cells to understand and target metabolic pathways
    • Therapeutic anti-angiogenesis: tumor vessel normalization (TVN)
    • Endothelial cell metabolic target discovery and drug development
  • Bioinformatics Service Lab

    • ​​data analysis and interpretation of sequence data 
    • spatial and  single-cell transcriptomics
    • genomics - transcriptomics
  • Martin Guilliams Lab

    • ​​Ontogeny of dendritic cells and macrophages
    • Functional characterization of dendritic cell and macrophage subsets across species and tissues in steady state and inflammation

  • Lennart Martens Lab

    • Data collection and integration across the various Omics fields
    • (Semi-)automatic quality control using configurable expert systems
    • Development of computational Omics
  • Stuart Maudsley Lab

    • Understanding complex and multifactorial neurodegenerative diseases by unraveling interaction networks of genes and proteins.
    • Generation of receptor-based therapeutic strategies to regulate pathological disease networks.
    • Development of novel bioinformatic tools for therapeutic design
  • Jeroen Raes Lab*

    • ​novel computational approaches for large-scale, next-generation sequencing projects investigating the human microbiome
    • analysis of sequence data and the investigation of ecological communities from metagenomics, metatranscriptomics and meta-metabolomics
  • Yvan Saeys Lab

    • ​data mining and modeling for systems immunology
    • automation and design of novel computational tools to analyze data from high-throughput technologies
    • machine learning and automated reasoning for biomedical applications
  • Peter Tompa Lab

    • ​Structural biology of disordered of proteins
    • Structure of “oversized” proteins
    • In-cell NMR of proteins
    • Bioinformatics of protein disorder
  • Yves Van de Peer Lab

    • ​gene and genome annotation
    • comparative and evolutionary genomics
    • evolutionary systems biology
  • Kevin Verstrepen Lab

    • Evolutionary mechanisms underlying hyper-evolvable properties
    • Yeast genetics and epigenetics
    • Importance of tandem repeats as drivers of genetic change