What is multi-omics?
Through simultaneous analysis of different omics datasets – genomics, transcriptomics, proteomics, metabolomics, microbiomics, and epigenomics – multi-omics offers a comprehensive view of biological systems and potential for deep insights into the intricate interactions within living organisms.
But how?
While traditional single-omics approaches may offer valuable insights, they miss the complex network of interactions governing biological processes. With multi-omics this gap can be bridged through modeling of detailed relationships between molecular components. By assessing the flow of information from one omics level to another we can obtain a more complete understanding of health, disease, and physiology and ridge the gap from genotype to phenotype.
At VUGENE, we leverage sophisticated bioinformatics methods for multi-omics data integration analysis, uncovering novel biological insights and pushing the boundaries of scientific knowledge. Despite diverse noise, high heterogeneity, and non-uniformly missing data our robust computational and modeling strategies are essential to extract meaningful insights from vast data volumes. Our approach to multi-omic data empowers researchers to make groundbreaking discoveries that single-omics methods might overlook.
Written by: Milda Milčiūtė, Vilija Lomeikaitė, PhD, Juozas Gordevičius, PhD
Cover image credits: Olena / Adobe Stock