MULTI-OMICS

We integrate data from genomics, transcriptomics, proteomics, metabolomics, and other “omics” layers to give a comprehensive view of biological systems.

This helps uncover relationships between genes, proteins, and metabolites and can guide the development of therapies, improve strain selection, or understand biological functions at a system level.

OUR SUPPORT

Why it matters:
Integrating omics data allows teams to reduce guesswork and optimize biological systems faster.
Multi-omics approaches can double the precision of strain improvement efforts and are increasingly demanded in personalized health, microbiome R&D, and alt-protein optimization.

WHAT WE DO

We offer an integrated approach to omics analysis, connecting data across genomics, transcriptomics, proteomics, and metabolomics to provide a systems-level understanding of biological complexity.

By combining high-throughput data with expert interpretation, we help clients uncover new biomarkers, optimize microbial performance, and make informed decisions grounded in molecular-level insight.

Our team supports every step, from data pre-processing to advanced bioinformatics pipelines and biological interpretation, enabling results that are not only accurate but also actionable.

WHERE WE WORK


You’ll find our multi-omics expertise at the heart of Biotech innovations, from microbial engineering and synthetic biology to microbiome research and diagnostic development.

We also apply omics in Food Systems to improve fermentation outcomes and product functionality, and in Life Sciences projects exploring health, immunity, and host-microbe interactions.

Our frameworks are adaptable to any domain where biology and data meet