Dr. Prasanna Koti
Centre for Functional Genomics & Bio-informatics
My desire to become a scientist blossomed when I was exposed to numerous inspiring teachers. As a generic science, computer biology has encouraged me to begin to understand all life forms spanning from animals, worms, plants, and microorganisms at the DNA/RNA level. The universe is big, vast, complicated, and ridiculous, as Steven Moffat says. And sometimes very rarely, impossible things just happen and we call them miracles. Biology is equally enormous, and its integration with the power of computation has been a decisive point in unravelling mysteries beyond imagination. I am very pleased to be an explorer in this field.
- Genomics and Bioinformatics, Systems Biology, Network Biology and Biological Databases
- Functional Genomics Database: Archiving of genomics resource data of traditional medicinal plants.
- Biology of Fever: Transcriptomics, Metagenomics and Systems Biology of mouse treated with Ayurvedic formulations.
- Network Pharmacology: Prediction of disease and drug targets and identification of the efficacy of Ayurvedic bioactive compounds for the treatment of common diseases in India.
- Crop improvement: Computational biology approaches to accelerate breeding.
Ongoing Research/Education/Outreach Projects:
- Archiving the genomic resource data of high volume traded medicinal plants in India – funded by Kiran Mazumdar Shaw Grant
- Annie Yim, Prasanna Koti, et al. (2020). mitoXplorer, a visual data mining platform to systematically analyze and visualize mitochondrial expression dynamics and mutations.Nucleic Acids Research, Volume 48, Issue 2, 24 January 2020, Pages 605–632. https://doi.org/10.1093/nar/gkz1128
- Villaveces J M, Koti P, Habermann B H. (2015). Tools for visualization and analysis of molecular networks, pathways, and -omics data. Adv Appl Bioinform Chem 2015;8:11-22 https://doi.org/10.2147/AABC.S63534
- Spanu P D et al. (2010). Genome expansion and gene loss in powdery mildew fungi reveal tradeoffs in extreme parasitism. Science 330: 1543- 1546. https://doi.org/10.1126/science.1194573
Membership of Professional Bodies:
- Associate Member of Bioinformatics.org