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5. Digitalization, Data Science & Bioinformatics (DABI)

Our mission

Digitalization, multiomics, data science and bioinformatics technologies have become increasingly integrated into research and innovation in the field of animal and veterinary sciences, offering transformative tools and insights that enhance our systems level understanding of animal health, behaviour, genetics/genomics, biodiversity, climate impact, breeding, nutrition, sustainable ecosystems and green transition.

The DABI research theme contributes to both practical applications and groundbreaking research in the above fields.

Bioinformatics is a research field that combines statistics, biology, mathematics, and computer science and focuses on the development of methods for collecting, handling and analysing large volumes of biological and field and experimental data. Research includes formulating hypotheses, models, analyses, and interpretation of multiomics data, integrative systems biology, constructing algorithms and developing computer programs.

Read more about the theme group's mission

Large volumes of multiomics data (e.g. genomics, epigenomics, transcriptomics and metagenomics based on Next-Generation Sequencing (NGS) technologies, metabolomics, and proteomics etc.) are used in research. These multiomics data types in combination with high-throughput sensor and imaging (phenomics) data makes it essential that data science (Artificial Intelligence (AI) and Machine Learning (ML)) and advanced bioinformatics are used.

Digital transformation in the era of phenomics and multiomics requires data curation, management and harmonization using FAIR principles. However, there is a need for better understanding and coordination for implementation of DABI in our research and innovation.

The theme 5: Digitalization, Data Science and Bioinformatics (DABI) is a cross-disciplinary research theme or platform, and its mission is to bring together researchers across the institute interested in its research methods, tools, technologies, processes, and models that are essential components of sustainable animal-food production systems and green transition, providing broad societal benefits.

We break down scientific "silos" to promote a comprehensive and interdisciplinary approach to research and serve as a hub for researchers using DABI in their research projects.

Our mission is to develop new and innovative bioinformatics and data science approaches and technologies that drive knowledge creation, transforming fundamental and applied research in animal health, reproduction, production, nutrition, welfare, herd management, personalized veterinary care and to provide training and education in data science, bioinformatics and integrative systems biology. 

Theme group coordinators

Haja Kadarmideen

Professor Institut for Husdyr- og Veterinærvidenskab - ANIVET Management og Modellering (MAMO)

Mona Lilian Vestbjerg Larsen

Adjunkt Institut for Husdyr- og Veterinærvidenskab - ANIVET Adfærd, Stress og Dyrevelfærd (BSW)