NGics Lab · Research

Nutrition, genetics, and multi-omics in animal biotechnology.

We connect controlled animal trials with genomic, transcriptomic, microbiome, and metabolomic profiling to understand feed efficiency, gut health, and sustainable livestock production.

Programs
04
Omics platforms
5+
Species
Pig & Poultry
Funding
NRF PI

What We Do

Research Areas

Our research connects animal nutrition, molecular profiling, and practical livestock biotechnology across four interconnected programs.

  1. 01

    Nutrigenetics & Feed Efficiency

    We study how dietary strategies, genetic background, and compensatory growth mechanisms influence nutrient utilization, growth performance, and feed efficiency in pigs and poultry.

    • Feed Efficiency
    • Growth Traits
    • Low-Protein Diets
    • Animal Trials
  2. 02

    Gut Microbiome & Metabolomics

    We profile microbial communities and metabolic signatures to understand how feed additives, probiotics, phytogenic supplements, and diet composition affect gut function and animal health.

    • 16S rRNA
    • LC-MS-TOF
    • Probiotics
    • Metabolites
  3. 03

    Transcriptomics & Molecular Biology

    RNA-seq, qRT-PCR, and molecular assays help us connect nutritional interventions to gene expression, tissue responses, and biological mechanisms.

    • RNA-seq
    • qRT-PCR
    • Bioanalyzer
    • Molecular Lab
  4. 04

    Sustainable Animal Biotechnology

    We build omics-informed livestock strategies for eco-friendly pig farming, reduced environmental impact, and resilient production systems.

    • Eco-Friendly Farming
    • Gas Emissions
    • Feed Additives
    • Platforms

How we work

Platforms & Methods

Every project couples carefully designed animal trials with multi-omics measurement and reproducible computational analysis.

Animal trial facility
Pig & poultry studies, GI sampling protocols, CASA & in vitro fertility
Sequencing & PCR
Illumina NextSeq 550 RNA-seq, 16S rRNA microbiome, qRT-PCR
Metabolomics
LC-MS-TOF based metabolite quantification & Bioanalyzer QC
Bioinformatics
Multi-omics integration with SPSS / SAS / GenStat & reproducible workflows