Imagine having a giant, shared library that connects a farm animal's DNA blueprint to its actual physical traits, like milk yield or disease resistance. Instead of guessing which genes matter, researchers can use standardized cell samples and data to see exactly how a genetic change affects the animal. It is like creating a high-tech manual for breeding healthier and more sustainable livestock.
Animal breeders lack a standardized way to link genetic data to physical traits across different species and environments. This gap slows down the development of sustainable, high-yield, and healthy livestock.
A conceptual design for a European infrastructure, including standardized biobanking rules for tissue/cell requests and a common data structure for genotype-to-phenotype research.
If you are a breeding company dealing with slow progress in trait improvement — this project developed a common data structure and biobanking rules that allow for more accurate genotype-to-phenotype predictions. This helps in selecting the best animals for sustainable production.
If you are a biotech firm dealing with the high cost of animal testing — this project developed curated in vitro cellular models for farmed species. These models provide a way to test genetic interventions in cells before moving to live animals.
If you are a software provider dealing with fragmented genomic data — this project developed standardized data access and metadata rules for G2P research. This enables the integration of complex genomic information into breeding tools.
Based on available project data, specific pricing is not mentioned, but the project focuses on creating 'access procedures' and 'requesting procedures' for tissues and cells via TNA applications.
No. The project is currently in the 'concept development phase' of its life cycle, meaning it is designing the rules and structures rather than deploying a full-scale industrial system.
The project is developing a set of biobanking 'rules' to standardize requesting procedures for tissues and cells, though specific licensing terms are not detailed in the summary.
The project period runs from 2023-01-01 to 2025-12-31, indicating the conceptual phase concludes at the end of 2025.
The project aims to connect with existing infrastructures for data management and animal agriculture to consolidate research across Europe.
The consortium is purely academic and research-driven, consisting of 7 partners from 5 countries. With 3 universities and 3 research organizations, and 0% industry participation, the project is currently focused on foundational science and infrastructure design rather than immediate commercial application.
Contact the Forschungsinstitut fur Nutztierbiologie in Germany
Contact us to track the transition of EuroFAANG from concept to operational infrastructure.
