Microarray and NGS data can be analysed (i.e., preprocessing, normalization and downstream analysis) and MD simulation run can be performed in the form of research collaboration. Interested researcher can contact us.

Networks and Systems Biology

Cancer Bioinformatics: We are dedicated to identifying prognostic and diagnostic biomarkers involved in various cancer formation and progression. Through our bioinformatics expertise in large-scale transcriptomic data handling and network biology analysis, we are focused on exploring both coding and non-coding genes and their underlying mechanism in formation and development of Gynecological and Lung cancers.  Especially we intend to unravel the shared and unique molecular mechanisms of different types of Gynecological and Lung cancer.

Stem Cell Bioinformatics: We are involved to understand the underlying mechanisms of human pluripotency by combining network biology and integrative bioinformatics approach. We intend to bring a consensus on how pluripotency is established and maintained by analyzing RNA-seq data. So far, we have uncovered the genes those are critical for establishment and maintenance of pluripotency in human, and decoded molecular markers and transcriptional circuitry of naive and primed states of human pluripotency. Further we envision to decipher the mRNA-lncRNA-miRNA interaction landscape in human pluripotency.

Host-Pathogen Protein-Protein Interactions

We are focused on network analysis of protein–protein interactions between human and pathogenic bacteria based on large-scale inter-species and intra-species interactome data for human and various pathogenic bacteria that may provide crucial insights into the mechanisms of pathogenicity and can help us to design multipurpose drugs.

Computational Genomics and Structural Bioinformatics

To study riboswitches (non-coding regulatory RNAs) as potential drug target using computational and structural bioinformatics approaches. 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 into the conformational changes and binding mechanism of riboswitch via molecular dynamics simulations and inhibitor finding for the specific riboswitch.

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 and species phylogenies will suggest their current existence and will help to understand the participation of those genes during speciation according to their host. We also try to identify horizontal gene transfer(HGT)/recombination events in Wolbachia using various computational methods.