Genomics

The Genomics Program is driven by a vision to close the gap between the genome and phenome by uniting molecular insight with advanced computational approaches. Our overarching vision is to address grand challenges in sustainable agriculture, One Health, and Biodiversity conservation, thereby contributing to global food security, ecosystem resilience, and human well-being. We aim to catalyse collaboration across programs and institutions by generating innovative, interdisciplinary projects at the intersection of genomics, data science, and bioinformatics, creating a vibrant ecosystem where collective expertise drives discovery and impact.  

Genomics     |     GWAS     |     Integrative Genomics     |     Metagenomics     |     Multi-omics     |     Pangenome     |     Comparative Genomics     |     Evolutionary Genomics     |     Large Language Model

Decipher Complex Phenotypes via Cross-species Analysis of the Regulatory Genome

SustainCattle: mitigating methane emission and improving food security by unveiling the alternative hydrogen pathway in cattle rumen

Breeding for digital dermatitis resistant dairy cows

Diving into the cattle hologenome by unveiling the Uncultured Microbiota in Cattle Rumen

MethaneOmics Breeding for reduced methane emission in dairy cattle using multi-omics information

Reduceret metanproduktion med optimeret mælkeproduktion: Udnyttelse af samspillet mellem foderadditiver, den enkelte kos genetik og vommens mikrober

SusCellFood – Sustainable production of cultured meat and milk

Decoding gene regulation and plant resilience using genomic sequence models: prediction and interpretation of variant effects in Brachypodium

Phylogenomic discovery of beneficial variants for precision breeding: proof of concept in sorghum

Selection of mutations by in silico and experimental variant effects (SIEVE): a new strategy to improve fitness in cool-season grasses

Gene mapping