Regulatory Genomics
Using machine learning for regulatory genomic data intergration and prediction.
Using machine learning for regulatory genomic data intergration and prediction.
Field scale phenotyping with advanced sensors, drones and ground robots
Using nanopore sequencing and hyperspectral imaging for early plant disease detection and health monitoring
Condition-specific regulatory network
Identification of co-regulatory modules.