Applying - Omics Approaches, Bioinformatics, and Machine Learning to Study the Companion Animal Microbiome
Applying - Omics Approaches, Bioinformatics, and Machine Learning to Study the Companion Animal Microbiome
Speaker:
Nicholas Griffin, PhD
Event date: 30 April 2025 St. Louis, Missouri, USA
Animal health is intricately connected to interactions with the microbial communities—or microbiota—they host. The combination of these microbial communities, their genomes, genetic transcripts, and metabolites; the features of their habitat; and their interactions with their host and habitat create a microbiome. In this session, Dr. Griffin provides an overview of the recent advances in biochemistry, computation, bioinformatics, culturomics, and machine learning that enable researchers to study animal microbiomes in situ using meta-omics approaches. Findings from these studies help researchers understand the associations between microbiomes and host health, identify targets for nutritional interventions, and develop new biotic solutions.
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