Using open data and machine learning approaches to decode the regulatory regions of wheat Grant uri icon

description

  • The life sciences are becoming increasingly data rich, yet how to best exploit this information remains a challenge and a bottleneck in advancing our understanding. Machine learning (ML) and artificial intelligence (AI) offer new approaches for exploring these datasets and generating testable hypotheses. The methods developed through the project will have direct application to crop breeding and engineering.

date/time interval

  • September 30, 2021 - September 29, 2025

total award amount

  • 0 GBP

sponsor award ID

  • 2588095