|
Sl. No. |
Name of the Project |
Project Leader* and
Associates |
|
1. |
Development of Artificial Intelligence and Big Data Analytics based Framework for Predicting Protein-Ligand Interaction. |
ICAR-IASRI: Sneha Murmu*, Dr.Mohammad Samir Farooqi, Dr. Bharti, Soumya Sharma |
|
2. |
Improving seed health and storage system. |
ICAR-IASRI: Dr.Sunil Kumar* |
|
3. |
Development of statistical and computational approach for preprocessing and analyzing high-throughput proteomics data with missing values |
ICAR-IASRI: Dr.Sudhir Srivastava*, Dr.D. C. Mishra, Dr.U.B Angadi, Dr.K.K Chaturbedi |
|
4. |
Assessing genetic variability in duck of Eastern states. (in collaboration with ICAR-RCER, Patna) |
ICAR-IASRI: Dr. Ratna Prabha |
|
5. |
Development of Artificial Intelligence Framework for Prediction of Protein 3D Structure. |
ICAR-IASRI: Dr.U.B. Angadi*, Dr. K.K Chaturbedi, Dr. Sudhir Srivastava |
|
6. |
Explicating genomic insights of Indigenous equines breed population through Computational Genomics and Artificial Intelligence based approaches. |
ICAR-IASRI: Dr. Sarika*, Dr. M.A Iquebal, Dr. Dinesh Kumar |
|
7. |
Meta-analysis of crop rhizosphere microbiome for identification of abiotic stress-responsive microbial signatures and development of integrated information system. |
ICAR-IASRI: Dr. Ratna Prabha*, Dr. Sudhir Srivastava, Dr. Sarika Sahu |
|
8. |
Development of computational pipeline(s) for identification, characterization and functional analysis of ncRNAs in agriculturally important species. |
ICAR-IASRI: Dr. Sarika Sahu |
|
9. |
Development of an integrated framework for the analysis of biogeochemical cycles from metagenomic data |
ICAR-IASRI: Ritwika Das*, Dr. Anu Sharma, Sneha Murmu |
|
10. |
Mining agricultural microbiome datasets for Antibiotic Resistance Genes (ARG) diversity and prediction of microbial resistome |
ICAR-IASRI: Dr Ranta Parbha*, Dr Sunil Kumar |
