skip to Main Content


The goal of the Statistical Analysis of Nutrition and Diet (SAND) core is to build capacity in study design, dietary assessment tool selection, development and use for diverse populations, dietary and anthropometric data entry, and analysis.

Murine Metabolic Phenotyping

The Murine Metabolic Phenotyping Core provides service, consultation, education and training in murine metabolic testing. Core staff are available to assist investigators in all aspects of the metabolic testing, including suggestions for genetic background and experimental design, data analysis, and interpretation.


The Microscopy Imaging Center for Research through Observation (MICRO) Core includes the Biological Electron Microscopy Facility (BEMF) that houses the only transmission electron microscope (EM) in the state and the only scanning EM at UHM supporting biological and biomedical research.


The Microbial Genomics and Analytical Laboratory (MGAL) Core provides equipment and technical expertise for high-throughput sequencing library preparation, metabolite and lipid analysis, and facilities for the safe handling, cultivation, and storage of microbial strains


The Metabolomics Shared Resource (MeSR) housed at the University of Hawaiʻi Cancer Center (UHCC) provides high-quality service in a variety of MS-based metabolomics assays in a timely and cost-efficient manner.


The Epigenomics Core Facility offers library preparation and sequencing services that include DNA methylation profiling, protein/nucleic acid association analysis, whole-genome sequencing, targeted sequencing, gene expression profiling, and microbiome analysis.

Computing & Data Storage

The University of Hawaii (UH) high-performance computing (HPC) cyberinfrastructure called Mana is a heterogeneous cluster. The ITS Data Center houses research data and computational assets for UH.


The Bioinformatics Core is a centralized resource for providing expert and timely bioinformatics consulting, analysis, collaborative research, management, and training solutions for high-throughput ‘omics’ data.
Back To Top