Onderzoeker

Benjamin Vandendriessche

Deze persoon heeft niet langer een onderzoeksaffiliatie met Universiteit Gent.
Onderzoeksdisciplines
  • Natural sciences
    • Animal cell and molecular biology
  • Medical and health sciences
    • Analysis of next-generation sequence data
    • Bioinformatics data integration and network biology
    • Bioinformatics of disease
    • Computational biomodelling and machine learning
    • Computational evolutionary biology, comparative genomics and population genomics
    • Computational transcriptomics and epigenomics
    • Data visualisation and high-throughput image analysis
    • Development of bioinformatics software, tools and databases
    • Ontologies, data curation and text mining
    • Single-cell data analysis
    • Structural bioinformatics and computational proteomics
    • Synthetic biology
    • Bio-informatics and computational biology not elsewhere classified
    • Cardiology
    • Vascular diseases
    • Cardiac and vascular medicine not elsewhere classified
    • Analysis of next-generation sequence data
    • Bioinformatics data integration and network biology
    • Bioinformatics of disease
    • Computational biomodelling and machine learning
    • Computational evolutionary biology, comparative genomics and population genomics
    • Computational transcriptomics and epigenomics
    • Data visualisation and high-throughput image analysis
    • Development of bioinformatics software, tools and databases
    • Ontologies, data curation and text mining
    • Single-cell data analysis
    • Structural bioinformatics and computational proteomics
    • Synthetic biology
    • Bio-informatics and computational biology not elsewhere classified
    • Cardiology
    • Vascular diseases
    • Cardiac and vascular medicine not elsewhere classified
    • Analysis of next-generation sequence data
    • Bioinformatics data integration and network biology
    • Bioinformatics of disease
    • Computational biomodelling and machine learning
    • Computational evolutionary biology, comparative genomics and population genomics
    • Computational transcriptomics and epigenomics
    • Data visualisation and high-throughput image analysis
    • Development of bioinformatics software, tools and databases
    • Ontologies, data curation and text mining
    • Single-cell data analysis
    • Structural bioinformatics and computational proteomics
    • Synthetic biology
    • Bio-informatics and computational biology not elsewhere classified
    • Cardiology
    • Vascular diseases
    • Cardiac and vascular medicine not elsewhere classified