Computational Genomics: Studying non-coding regulatory RNAs, specifically Riboswitches. The ongoing research include identification, distribution, modeling of structures and manipulation of riboswitches in some prokaryotic genomes, so that they can be identified and established as potential drug targets thus playing a pivotal role in therapeutic applications. Further we intend to find the insights of folding mechanisms of riboswitches via molecular dynamics simulations and variants uncovering (due to mutations).
Network Biology: Using biological network-based approach for identification of biomarkers for complex diseases. We intend to understand the underlying biology and molecular pathogenesis of the disease, that is crucial for advancing the treatment. By doing topological analysis of network we can find out hub genes, bottleneck genes and other conserved modules those play important role in the disease progression. Network biology is gradually altering our view of cell biology and give chance to understand the unforeseen internal organization of the cell.
Stem Cell Bioinformatics: To understand the underlying mechanisms of pluripotency by combining network biology and integrative bioinformatics approach. With the advent of NGS technologies large volume of transcriptomic data on regulation of pluripotency is available; however, they are scattered across wide range of databases and scientific literature. We intend to bring a consensus on how pluripotency is maintained in cells by re-analyzing existing RNA-seq data using a uniform pipeline.
Evolutionary Bioinformatics: Wolbachia is a genus of Gram-negative bacteria which infects arthropod species. We intend to study the evolution of genes in wolbachia by computational phylogenetics approach. The study will help to understand the compatibility of different species of Wolbachia with their host. Reconstructing Gene Tree Phylogeny and Super-matrix phylogeny will suggest their current existence and will help to understand the participation of those genes during speciation according to their host.