SOURCE-LINKED INTELLIGENCE
Genealogical and statistical methods for large-scale genomic analysis
work to analyze both ancient and modern genomes, using genealogical graphs to define new ancestry descriptors and study human evolutionary history at fine resolution. Finally, we will create Bayesian machine learning approaches to improve the detection of trait- and disease-associated variants, model multiple traits and ancestries, learn biological function from raw genomic data, and enable distributed cross-biobank analyses. We will implement these models as high-quality, freely available open-source software. genealogical modeling, complex traits, ancestry, ancient DNA, genome-wide association studies
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1999980
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.