Probiotic Genomics & WGS
Whole-genome sequencing, functional genome analysis, safety genes, stress tolerance, adhesion, bacteriocins and strain-level probiotic characterization.
Five connected research pillars.
The research programme connects microbial genomes, laboratory phenotypes, microbiome systems, AI/ML analysis and translational probiotic development.
01 / RESEARCH IDENTITY
From strain-level evidence to practical outcomes.
The programme moves from microbial isolation and genome-scale evidence to computational interpretation, validation and translational application.
Microbial AI & Computational Biology
Machine learning for biological classification and prediction, feature-based microbial analysis, bioinformatics tools, peptide prediction, molecular docking and data integration.
Gut Microbiome & Animal Health
Ruminant and poultry gut microbiota, probiotic modulation, feed efficiency, gut health, host response and production traits.
AMR & One Health
Genomic AMR and safety interpretation, probiotic alternatives to unnecessary antibiotic use, microbial risk prediction and livestock-food-environment health links.
Translational Probiotic Development
Indigenous strain isolation and validation, feed formulations, yeast-derived products, pilot-scale development and industry-facing applications.
02 / METHODS
A linked research workflow.
Laboratory evidence, genome-scale analysis and computational modelling are combined to develop and evaluate probiotic candidates.
Wet lab
Isolation, culture, biochemical characterization, acid/bile tolerance, antimicrobial testing and product development.
Genomics
WGS/NGS, 16S rRNA, genome annotation, functional genomics, microbiome and metagenomics workflows.
Computational
Bioinformatics, machine learning, sequence feature engineering, docking/MD, data integration and visualization.
Translational
Feed supplementation, livestock and poultry trials, product optimization and pilot development.
Isolate
Phenotype
WGS / NGS
Safety & function
AI ranking
Validation
Product
03 / RESEARCH QUESTIONS
Which strains are safe and functional?
Combine phenotype, genome and literature evidence before advancing candidate microbial resources.
How can AI support biological judgment?
Use explainable feature-based approaches to support classification, ranking, prediction and research decision-making.
How do probiotics influence animal health?
Connect microbial products, gut health, nutrition, performance and host-response signals.
How do discoveries translate to products?
Move from indigenous strain resources and genomic evidence to formulations, trials, pilot development and dissemination.