Functional interpretation of variants in non-exonic regions of the genome and in disordered regions of proteins
de novo genes, non-exonic translations, proteogenomics, phylogenomics, systems biology, and big data
I am interested in understanding how human genetic variants affect normal biological processes and cause diseases of the nervous system and cancer. The major focus of my group is the functional interpretation of 90% of variants that map to non-exonic regions of the genome. We are also interested in interpreting variants that map to intrinsically disordered regions of proteins.
We develop and employ different strategies and they are :
1. Systematic characterization of non-exonic functional elements - such as de novo genes and non-exonic translation products - using proteogenomics
2. novel statistical approaches on large-scale genomic data (big data) to identify and map disease associated variants to non-exonic regions of the genome and to regions of proteins that are disordered
3. computational and systems biology-based discovery and validation of the gene-regulatory circuitry that regulate non-exonic elements
4. identify and investigate non-exonic variants that perturb protein-protein interactions using graph-based networks analysis
5. comparative genomics and machine-learning phylogenomic frameworks to understand the evolutionary processes leading to the retention of non-exonic functional elements.
Can be found via Google Scholar
Group members and collaborations
Group members are listed here [less full than list above]
Collaborator: Dr Matt Wayland [Dept of Zoology, University of Cambridge]
Sudhakaran Prabakaran is an India DBT - Cambridge Lecturer, with labs in the Department of Genetics, University of Cambridge, and in the Indian Institute of Scientific Education and Research, Pune, India
Page created 26 Oct 2016