Institute of Bioinformatics and Applied Biotechnology (IBAB), Bangalore
Centre for Disease Genomics, Bioinformatics and Big Data Analysis in Biology and Healthcare- BIC
The mission of the Centre :
1. To create expertise and trained manpower in Big Data Biology, AI/ML
2. To engage in cutting-edge research in clinical genomics and to translate the outcomes into innovative products
3. To emerge as a leading centre in big data applications in health care and genomics
To be a global Centre of Excellence in Viral Bioinformatics To carry out cutting-edge research on viruses infecting all forms of life To employ data-driven, integrative approaches for knowledge discovery and translational research To undertake research projects in the areas of genomics, comparative genomics, metagenomics, immunoinformatics, phyloinformatics, chemo-informatics and bioinformatics To develop curated databases, novel algorithms, servers and specialised resces for viruses To develop computational infrastructure (hardware, software, customisable workflows etc.) for: Genomics & metagenomics Population genetics & evolutionary biology Comparative genomics & systems biology Immunoinformatics & vaccine design Drug repurposing, drug design and deciphering drug resistance To train human resce in the specialised area of viral bioinformatics
Seminal contributions include the study of unfolding the mystery of emergence of SARS-Cov-2 through a likely spillover event, to map circulation of SARS-Cov-2 lineages in India, to decode likely impact of virus and host variations on efficacy of vaccine, (sponsored SII, Pune).
The bioinformatics studies of human and animal viruses have an impact on understanding of genetic variability and its consequences on disease gradation, molecular mechanisms of host-virus interactions, diagnostic and therapeutic strategies for viral diseases such as HPV-16 associated cervical cancer, COVID-19, AIDS, measles, Infectious Bovine Rhinotracheitis, Monkeypox, etc.
The Centre maintains state-of-art computational infrastructure. A number of algorithms, databases and web servers have been developed in-house. The Return Time Distribution (RTD) based, alignment-free algorithm for virus typing and subtyping, achieves high accuracy and efficiency in viral typing. ML based algorithm has been developed to predict the antibody class/es for epitopes.
Basic and applied research on Viral Bioinformatics; Studies of viruses, viral diseases involving phyloinformatics, genomics, immunoinformatics, drug re-purposing, molecular docking and simulations; Development of bioinformatics resces; High-impact publications
