Applying computational methods to analyze genetic data for improving sustainable food production systems.
Our bioinformatics and genomics research focuses on applying computational methods to analyze complex genetic data for developing more sustainable agricultural systems.
The lab specializes in developing and implementing computational approaches to understand the genetic basis of complex traits in livestock and other agricultural species. We use advanced bioinformatics tools and genomic technologies to identify genetic variants associated with economically and environmentally important traits.
Through cutting-edge genomic analyses and data integration methods, we're working to enhance genetic selection for sustainability traits while maintaining productivity, ultimately contributing to more environmentally friendly food production systems. Our research combines multiple approaches including genome-wide association studies (GWAS), functional genomics, and meta-analyses to provide comprehensive insights into the genetic architecture of complex traits.
We collaborate with international research groups and industry partners to translate our genomic discoveries into practical applications that benefit both producers and consumers, while addressing critical environmental challenges such as methane emissions reduction in livestock production.
Bioinformatics & Genomics Laboratory
2022 - 2023
Principal Investigator: Zexi Cai
Using whole genome sequencing data to infer the genomic contribution of other breeds to Nordic Red in DNA base level resolution to assist the breeding.
2017 - Present
Project Manager: Zexi Cai
The hub for Marker data exchange for cattle in Europe. Annually design new marker for detecting genetic defects in cattle breeds.
2023 - 2026
WP leader: Zexi Cai
Developing genomics tools to assist the breeding strategy of pikeperch and monitoring the progress and inbreeding of the breeding practice.
2023 - 2026
Participant: Zexi Cai
Developing new breeding strategies to help Ruminants to adapt to climatic changes. In the project, I contribute to develop the first Chip array for DNA methylation profiling in cattle.
We conduct genome-wide association studies across multiple breeds and species, using meta-analysis approaches to identify genetic variants associated with economically and environmentally important traits.
Our research integrates functional annotation data to understand the molecular mechanisms underlying complex traits, focusing on regulatory elements and gene expression patterns.
We develop and implement custom bioinformatics pipelines for analyzing large-scale genomic data, enabling efficient processing and integration of diverse data types.
Advancing sustainable insect farming through genomic research
Supported by the Danish Independent Research Fund since April 2022, our project brings together specialists from several fields to enhance the use of Black Soldier Fly larvae in converting waste products into valuable nutrients.
We investigate cutting-edge genetic and microbiological techniques to minimize greenhouse gas emissions while boosting the growth and disease resistance of BSF larvae. Our goal is to make insect farming techniques more circular economy compliant and both environmentally and economically feasible.
Through focused research and marketing campaigns, we aim to change attitudes toward insect-based products by highlighting their crucial role in creating a sustainable future for our planet.
"The integration of advanced bioinformatics methods with genomic technologies is revolutionizing our ability to develop more sustainable agricultural systems. Our research aims to harness this power to address both environmental challenges and food security."
- Dr. Zexi Cai, Associate Professor
National Science Review
Comprehensive study deciphering the genetic basis of 232 complex traits in pigs through integration of GWAS and functional genomics data.
Genetics Selection Evolution
Multi-breed meta-analysis revealing biologically relevant candidate genes for mastitis resistance in dairy cattle.
Genome Biology
Comprehensive functional annotation of the pig genome enhancing biological interpretation of complex traits and human disease.
Contact us to learn more about our research projects, potential collaborations, or opportunities to join our team.