Advancing Sustainable Agricultural Production Through Genomics

Applying cutting-edge bioinformatics and genomic technologies to transform cellular agriculture, insect farming, and livestock systems for a more sustainable future.

Our Platforms Research Areas

Our Research Focus

Pioneering sustainable Agricultural production through genomic research

Genomics

Bioinformatics & Genomics

Applying computational methods to analyze genetic data for improving sustainable food production systems.

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Microbiome

Microbiome

Studying microbial communities to enhance sustainable food production and reduce environmental impact.

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Data Science

Data Visualization & Analysis

Creating interactive tools for visualizing complex datasets to accelerate research discoveries.

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Our Research Impact

Accelerating the development of sustainable food technologies through data-driven research.

47
Journal Articles

Comprehensive publications in peer-reviewed journals

11
Articles in Proceedings

Research presentations at international conferences

8
Active Research Projects

Investigating cutting-edge genomic technologies

Research Platforms

Access our specialized research platforms focused on different aspects of sustainable Genomic technologies.

CellFood Platform

A user-friendly platform for data acquisition, analysis, and knowledge sharing in cell-based food research.

Key Features:

  • Data collection & quality control with automated validation tools
  • User-friendly computing for complex analyses with integrated open-source tools
  • Sharable workflows to collaborate with partners and publish reproducible research
  • Interactive dataset exploration and visualization tools

Available Datasets:

  • Data on myotube fibers, including total population and fiber characteristics
  • Data on bovine myoblast proliferation and characteristics across FCS concentrations
  • Cell culture growth rate comparisons

Black Soldier Fly Research

Research platform focused on advancing sustainable insect farming for a circular economy and reduced environmental impact.

Key Features:

  • Research on BSF larvae for converting waste products into valuable nutrients
  • Genetic and microbiological techniques to minimize greenhouse gas emissions
  • Data on improving insect farming efficiency and sustainability
  • Resources on circular economy compliance in insect farming

Project Details:

  • Supported by the Danish Independent Research Fund since April 2022
  • Collaborative research across multiple scientific disciplines
  • Focus on increasing environmental sustainability and production efficiency
  • Public outreach to change attitudes toward insect-based products

Research Projects

Explore our ongoing research initiatives and collaborations

SustainCattle

Mitigating methane emission and improving food security through genomic approaches in cattle production.

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Cell-Based Food Platform

Creating a collaborative platform for sharing research and innovations in cellular agriculture technologies.

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Methaneomics

Breeding for reduced methane emission in dairy cattle through advanced genomic selection methods.

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Research Publications

Explore our recent peer-reviewed research and scientific contributions

47

Journal Articles

11

Articles in Proceedings

4

Conference Abstracts

3

Conference Papers

2026

A Haplotype Reference Panel and Genotype Imputation Framework for Cattle

Genomics

Developing a high-quality haplotype reference panel and an efficient genotype imputation pipeline for advancing cattle genomic research and breeding.

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2026

Human-Mediated Dispersal and Breeding Reshape Global Genomic Patterns in Black Soldier Flies

Genomics

Population genomic analyses revealing genetic diversity, population structure, and the lasting genomic impact of human-mediated dispersal in global wild and captive BSF populations.

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2025

Network Analyses Unraveled the Complex Interactions in the Rumen Microbiota Associated with Methane Emission in Dairy Cattle

Animal Microbiome

Investigating complex interactions within the rumen microbiota influencing methane emissions using Weighted Gene Co-expression Network Analysis in 750 Holstein dairy cattle.

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2023

Invited Review: Good Practices in Genome-Wide Association Studies to Identify Candidate Sequence Variants in Dairy Cattle

Journal of Dairy Science

Providing general guidelines for data quality control, association tests, population stratification adjustment, and significance evaluation to improve the reliability of GWAS conclusions in dairy cattle.

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Our Team

Meet the dedicated researchers behind our innovative genomic technologies

Dr. Zexi Cai

Dr. Zexi Cai

Associate Professor

Leading research in genomic technologies for sustainable animal production.

Dr. Maria Altaf Satti

Dr. Maria Altaf Satti

Postdoctoral Researcher

Specializing in bioinformatics and genomic applications for sustainable food systems.

Dr. Sha Zhang

Dr. Sha Zhang

Postdoctoral Researcher

Focusing on genomic analysis and computational methods for sustainable agriculture.

Team Member

Israt Farhana

PHD Fellow

Developing methane mitigation strategies using bioinformatics and metagenomic analysis