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FindingPheno: Multi-omics data analysis for genotype-phenotype associations.mp4
FindingPheno is developing a new computational framework for multi-omic datasets, providing the tools to better understand how host-microbiome interactions can affect growth and other outcomes. We combine state-of-the-art statistical methods with biological knowledge to create our framework, then train and test against data from commercially important crops and animals.
The end goal of FindingPheno is to find the true drivers of phenotype in food production systems to unlock the full potential of microbiome interventions for health and sustainability.
We are an EU H2020 Research and Innovation Action funded under Horizon 2020, spanning 4 years (2021-2025) and with 8 partners across 5 countries. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952914
For further info please see:
Website: https://www.findingpheno.eu/video1
Twitter: https://twitter.com/FindingPhenoEU
Blog: https://www.findingpheno.eu/blog
LinkedIn: https://www.linkedin.com/company/7685...
Produced in collaboration with MadeClear: https://www.madeclear.dk/en/
02:15 minutes
Tags: center for evolutionary hologenomics, FindingPheno, genotype, machine learning, multidisciplinary, Multiomics, phenotype