Developed an algorithm capable of prioritising the mutations detected by massive sequencing techniques and filtering out the small group of few mutations that are truly important. Currently, there are programs available but none of them offers a complete solution. This would require working with many annotation databases, mainly those that are constantly updated (clinical trials, scientific publications, etc.).

From the information provided by the region of Castilla y León, data from periodic inspections of private landowners, and other sources of information - physiographic and climatic - we seek to exploit information from many years in order to have as an objective an in-depth analysis of the success of these afforestation activities to improve them in the future, make decisions on techniques, executing companies and species, and even make predictions regarding their success according to variables related to climate change in the last phase.

The SmartCLIDE project will enable organisations in the process of digitization to accelerate the creation and adoption of cloud solutions. The innovative intelligent cloud-native development environment will support cloud service creators in the discovery, creation, composition, testing and deployment of full-stack data-centric services and applications in the cloud. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871177