School of Computational and Integrative Sciences, Jawaharlal Nehru University
G5V9+2GX Jawaharlal Nehru University, JNU Campus Rd, New Delhi, Delhi 110067, New Delhi, Delhi, India
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About School of Computational and Integrative Sciences, Jawaharlal Nehru University
Erstwhile the School of Information Technology (SIT) established in the year 2001 and renamed as School of Computational and Integrative Sciences (SC&IS) in 2010, the School carries out teaching and research in the inter-disciplinary areas of computa esearch in the inter-disciplinary areas of computational genomics, bioinformatics & drug discovery, database management & systems biology, high performance computing and artificial intelligence. The aim of the School is to innovate and integrate computational and analytical approaches adopted in different branches of sciences to find solutions. Rapid advancement in science and the cutting edge technologies enable and drive research in a big way, providing the opportunity to innovate. The School’s academic and research programs are currently focused on the core area of computational and systems biology with future emphasis on the study of complex systems, high density data analysis, theoretical biophysical chemistry and computational neurosciences. Thrust Areas for research : Computational Genomics Development of Tools in Bioinformatics Structure based Bioinformatics and in silico Drug Discovery Systems Biology Statistical Modeling Systems Biology Complex System Studies Crop Genetics & Informatics Machine/deep learning for Biological Data Analysis Mathematical Biology Computational RF and Antenna Biomolecular Simulations Computational Biophysics High-Throughput Sequencing Data Analysis/Genome Informatics Petri Nets and Graph Theory Mission The School of Computational and Integrative Sciences (SC&IS) has the mandate to promote inter-disciplinary goal-oriented research and innovate in the areas broadly related to computational sciences, such as computational & systems biology; biophysics & simulations, artificial intelligence & neural systems; high density data analysis using mathematics and statistics and expand into other areas in quantitative sciences including economics, finance, neurobiology and epidemiology.
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