The Bioinformatics Institute (BII) aims to understand the biomolecular mechanisms that underlie biomedical phenomena by developing sophisticated computational methods to support this discovery process from a secure and sustainable data hub to cross-disciplinary AI/ML analysis and data integration. We analyse a wide spectrum of biological and clinical data, including omics data (biomolecular sequences, expression profiles, epigenetics data), 3D structures of macromolecules, and biological tissue and macroscopic images from local and international academic, hospital and industry collaborators, public resources and from our own experiments. Our applied research diversifies into infectious diseases, computational toxicology, natural product research, precision medicine, cancer research, and drug discovery.
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