Analyzing rice genomic variation along with expression and phenotype data to reveal stress tolerance mechanism focusing development of climate smart rice

This project aims in analyzing publicly available sequencing data to reveal patterns and connection to understand stress tolerance mechanism in rice, a major staple food crop. Due to climate change number of cultivable agricultural lands are reducing, hence stress tolerant plants are necessary to feed the population. Along with computational data gene expression and phenotyping data are integrated to explore the biological relevance of sequence data. From the learned mechanism candidate genes are selected for further functional genomics analysis to develop climate smart plants. The project collaborates with Prof Zeba Islam Seraj’s group at University of Dhaka for information and resource exchanges.