My primary research interest is bioinformatics, a growing research area where computational, mathematical, and statistical methods are applied to solve biological problems. My research is focused on developing bioinformatics algorithms, tools and techniques that utilize large amounts of data to discover biologically meaningful information.
I have an interdisciplinary background, during my masters in biotechnology from India, I had worked on human genome diversity project. Where, I studied migration and evolution of two tribal populations of India, by mitochondrial DNA and y chromosomal DNA haplotyping and haplogrouping. My doctoral research in bioinformatics from NIT Bhopal, India, covers a diversity of topics, spanning from technique-driven research that aims at developing algorithms and tools for a wide range of applications (e.g., protein-protein interaction, protein structure prediction, human skin permeability and toxicity predictions), to hypothesis-driven investigation of speciﬁc biological problems where the primary goal is the discovery and advancement of biological knowledge (e.g., effects of extrinsic and intrinsic factors on skin ageing, factors involved in the signaling cascade that leads to collagen degradation in skin, target identification for skin ageing). During one year post doctoral research at department of biochemistry and structural bioinformatics, Lund University, Sweden I was involved in computer aided drug designing. My work was to identify potent inhibitors for the enzyme spermidine synthase of poly amine biosynthetic pathway using computational screening and docking.
Presently, I am working on next generation sequence data analysis in the MEEL lab (host Maren Wellenreuther). Facing the challenge in deciphering the vast NGS datasets of wide-ranging data types –RNA seq, Genomic seq etc – to answer biological important questions ranging from evolutionary heritage to functioning of cellular molecular machinery. The Organism involved in the study is a colour polymorphic damselfly Ischnura elegans.
Retrieved from Lund University's publications database