Transforming Agriculture Through Computational Biology and Data Science
Innovative research for sustainable agricultural development and food security
Our Impact at a Glance
Advancing agricultural research through innovation and collaboration
Data updated as of January 2026
Latest Updates
LiveMLDeCNV: A machine learning approach for predicting copy number variation types in plant genomes
Read moreCRISPR-GATE: A One-Stop Repository and Guide to Computational Resources for Genome Editing Experimentation
Read moreGenome-wide association study reveals putative candidate genes in cucumber (Cucumis sativus L.) associated with shoot and root system architecture traits under water stress conditions. BMC Plant Biology
Read moreAbout ABRL
Welcome to the Agricultural Bioinformatics Research Laboratory, a hub of cutting-edge research, innovation, and training at the intersection of biology, computational science, and statistics.
Our lab is dedicated to advancing knowledge in methodology development, data handling & analysis related to genomics, transcriptomics, proteomics, and systems biology with wider applications in agriculture. We contribute to global food security through algorithm development, statistical modeling, and data integration while training the next generation of computational biologists.
Our Mission
Our mission is to drive agricultural progress by leveraging innovative "Computational Methodology" and "Advanced Information Technology", equipping researchers and farmers with actionable, data-driven insights.
Our Vision
To be a global leader in Agricultural Bioinformatics and Computational Biology, driving innovations that enhance food security and foster sustainable development worldwide
Research & Publications
Discover our groundbreaking research and latest publications
Featured Projects
Quality and yield enhancement of fruit crops with bio-stimulants and microbial diversity analysis under organic farming in Sikkim, Funded by Corpus Fund-Indian Council of Agricultural Research (CF-ICAR)
NNP (Agri-Genomic repository and Intelligent Analytical System) of ICAR-Indian Agricultural Statistics Research Institute, New Delhi (Sponsored by DBT, Govt of India)- Co-Principal Investigator
Establishment of Centre for Bioinformatics and Computational Biology in Agriculture- BIC at ICAR-Indian Agricultural Statistics Research Institute at New Delhi (DBT Funded Project)
Recent Publications
PlantPathoPPI: An Ensemble-based Machine Learning Architecture for Prediction of Protein-Protein Interactions between Plants and Pathogens.
Murmu, Sneha, Chaurasia, Himanshushekhar, Rao, A.R., Rai, Anil, Jaiswal, Sarika, Bharadwaj, Anshu, Y...
Decoding Rice at the Single-Cell Level: Paving the Way for Food and Nutrition Security
BufAMPpred: Deep learning-based whole genome-wide antimicrobial peptide prediction tool in buffalo with its database
Khan, Aamir, Singh, Kalpana, Verma, Ajay, Jaiswal, Sarika, Nayan, Varij, Angadi, Ulavappa B., Datta,...
Meet Our Team
The experts behind our innovative research and initiatives
Mir Asif Iquebal
Lab Member
ICAR-Indian Agricultural Statistics Research Institute, New Delhi
Sarika
Lab Member
ICAR-Indian Agricultural Statistics Research Institute, New Delhi
UB Angadi
Lab Member
ICAR-Indian Agricultural Statistics Research Institute, New Delhi
Akash M Hosamani
PhD Student
ICAR-Indian Agricultural Statistics Research Institute, New Delhi