Computational Cancer Genomics
We study how genetic and molecular alterations drive cancer progression and resistance to treatment by using computational and functional genomics approaches
Research Overview
The DNA in the cells of our bodies contains all the information required to ensure correct cellular functioning. However, the accumulation of DNA alterations or mutations can cause cells to grow and divide in an uncontrolled manner to form tumors that may also metastasize. In order to prevent and treat any cancer, it is of paramount importance to fully understand the genetic and molecular basis of the disease. This includes understanding different mutational processes operative in somatic cells, identifying and understanding what gene(s) are affected by mutations and how they alter cellular functions. We address these questions by applying computational and functional genomics approaches.
Specific research questions of interest are:
Understanding the impact of chromatin architecture on somatic mutational processes and gene regulation in cancer
Identification of cancer driver mutations and their mechanism of action
Understanding intra-tumoral heterogeneity and tumor-immune cells interactions
Recent Works
Opportunities
We are looking for highly motivated students and post-docs with backgrounds in bioinformatics/computational biology or life sciences (experience with molecular biology and NGS techniques) to join our lab. If you're interested, please send your CV and a short research summary to sabari [at] ncbs.res.in.
Funding
