Himalayan Centre for high-throughput Computational Biology (HiCHiCoB)-BIC

To develop a deep learning algorithm to predict the effector proteins using sequence, structural, and evolutionary information.

Investigating mechanism underlying transgenerational heat stress adaptation in plants

Analysis of Arabidopsis thaliana transcriptome data (short reads-illumina) collected under different heat stress conditions to understand the plant's high-temperature sensing and signaling networks.

Development of a high-throughput genotyping platform for next-generation plant breeding in tea

To develop a deep-learning-based method to construct a gene network and identify genes involved in the biotic/abiotic defense response

Establishment of Bioinformatics Infrastructure Facility for Biology Teaching through Bioinformatics

Next Generation Sequencing (NGS) dataset analysis and conducted in-depth research using Illumina dataset treated with different abiotic stresses to develop next-generation abiotic stress-tolerant varieties

Genomics and Informatics Solution for Integrating Biology (GENESIS)

Developed and applied computational approaches to explore the bacterial genomes to develop biomarkers for identification