Computational Biology and Omics Group
Bioinformatics Institute (BII), A*STAR
The Computational Biology and Omics lab is primarily based at the Bioinformatic Institute, ASTAR, Biopolis, Singapore. The lab specialises in a number of cutting-edge methodologies and analyses to interpret the complex, dynamic and large-scale datasets obtained from time-series transcriptomics, proteomics and metabolomics of living cells. The members of our group come with diverse mathematical, computational and statistical expertise with wide international exposure. Depending on the type of data and cell type, the team develops custom-made computational, mathematical and data analytic tools to investigate and predict an optimal outcome of a desired experiment. For example, for the optimal production of an industrially relevant compound, the models developed can test numerous targets in silico and identify/rank the best targets before actual experiments are performed. To understand disease conditions, the dynamic models can predict target for suppressing immune or cancer response (see Publications). Such systems biology approaches reduce laborious experiments, thereby, saving valuable time and cost for projects.
31 Oct 2023: Guest talk by Prof. Hiroyuki Kurata from the department of Biosciences and Bioinformatics, Kyushu Institute of Technology, on "Dynamic modelling and deep learning in biomedical informatics".
18-21 Nov 2023: Kumar Selvarajoo is a member of the Genome Informatics Workshop (GIW) scientific committee.
18-21 Nov 2023: 5 Projects accepted for oral presentations and posters at the Genome Informatics Workshop (GIW).
Recent Highlights (12 months)