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
Date: 30 April 2025
Location: 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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