The Bioinformatics Institute (BII) was set up by the Agency for Science, Technology and Research (A*STAR) in July 2001; it was re-launched with a strong scientific program in 2007. Located in the Biopolis in Singapore, BII is conceived as the computational biology research and postgraduate training institute as well as a national resource centre in bioinformatics within the Biomedical Research Council (BMRC) of A*STAR.
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.
The Bioinformatics Institute (BII) is dedicated to computational biology/bioinformatics driven life science research aimed at the discovery of biomolecular mechanisms guiding biological phenomena. The final goals are scientific advancement leading to economic and societal impact for Singapore.
BII covers everything from enterprise-grade secure clinical data hosting to state-of-the-art analysis and new method development. Education of students and young scientists is facilitated by their active involvement in ongoing research projects supervised by international faculty. Sophisticated theoretical and computational approaches including artificial intelligence are applied to analyze all sorts of biological and clinical data, mainly omics data (biomolecular sequences, expression profiles, epigenetics data), 3D structures of macromolecules and biological as well as medical cellular, tissue and macroscopic images from local and international academic, hospital and industry collaborators, public resources and from own experiments. Applied research diversifies into infectious diseases, digital pathology, precision medicine, cancer research, drug discovery, etc. Our winning strategy is: "We add value to biomedical data".