Karthik Raman
Research, teaching, administration
Indian Institute of Technology Madras
Karthik Raman is an Associate Professor at the Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras since April 2011. Karthik’s research group at IIT Madras works on the development of algorithms and computational tools to understand, predict and manipulate complex biological networks. The key areas of research in his group encompass in silico metabolic engineering, synthetic biology and biological data analysis. Karthik also co-ordinates the Initiative for Biological Systems Engineering at IIT Madras and is a core member of the Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI).
Principal Investigator | Administrator
Further information
Projects within the RTG Big Data / Supervised students within the RTG Big Data
- Mathematical modelling of complex biological networks
- Machine learning on genomic/clinical datasets
Research interests of relevance to the project
- In silico modelling of complex biological networks/metabolic networks
- Biological network design
- Biological data analysis: machine learning on omics/clinical datasets
Field of Expertise
- Computational Systems Biology
Selected publications
- B. Tripathi, S. Parthasarathy, H. Sinha, K. Raman, and B. Ravindran (2019) Adapting Community Detection Algorithms for Disease Module Identification in Heterogeneous Biological Networks Frontiers in Genetics doi:10.3389/fgene.2019.00164
- G. Sambamoorthy and K. Raman (2018) Understanding the evolution of functional redundancy in metabolic networks Bioinformatics 34(17):i981–i987
- A. Ravikrishnan, M. Nasre, and K. Raman (2018) Enumerating all possible biosynthetic pathways in metabolic networks. Scientific Reports 8:9932+
- A. Sankar, S. Ranu, and K. Raman (2017) Predicting novel metabolic pathways through subgraph mining Bioinformatics 33(24):3955-3963
- A. Pratapa, S. Balachandran, and K. Raman (2015) Fast-SL: an efficient algorithm to identify synthetic lethal sets in metabolic networks Bioinformatics 31(20):3299-3305
Contact details
Address:
221, Block II, Department of Biotechnology
Bhupat and Jyoti Mehta School of Biosciences
Indian Institute of Technology Madras
Chennai – 600 036, INDIA
Phone: +91 442 257 4139
