Unlocking the Future of Medicine Through Multiomics Research

At MULTIOMICS, we harness the power of cutting-edge research in genomics, transcriptomics, proteomics, and metabolomics to revolutionize disease diagnostics and treatment.

Discover our Research

What is Multiomics?

Integrated, multi‑layered data analysis

Multi‑omics research combines and biologically interprets complex datasets from genomics, transcriptomics, proteomics, metabolomics, various cellular assays (e.g. flow cytometry) and advanced imaging methods to achieve a comprehensive view of normal versus pathological biological processes.

Functional characterization of genetic variants

It’s crucial for resolving “variants of uncertain significance” (VUS): multi‑omics methodologies enable detailed profiling of genomic, transcriptomic, proteomic, metabolomic and tissue‑level correlates in patient samples or engineered models, thereby establishing molecular causality for disease phenotypes.

A rapidly evolving, infrastructure‑intensive discipline

As a dynamic field, multi‑omics requires strong multidisciplinary teams, specialized instrumentation, robust computational resources and expert data management to plan experiments, analyze data, and foster continuous methodological innovation and biomedical application .

Multiomics integrates multiple biological datasets—genomics, transcriptomics, proteomics, and metabolomics—to uncover deeper insights into the complex mechanisms behind health and disease. By examining these layers simultaneously, researchers can better understand genetic variants, disease causes, and therapeutic targets. This approach significantly advances precision diagnostics and personalized treatment strategies.

Why Multiomics Matters?

Unlocking the Full Potential of Biomedical Research

Multiomics takes biomedical understanding to a new level by integrating multiple biological datasets. It moves beyond isolated findings to reveal the bigger picture behind diseases, paving the way for precision medicine and innovative treatments.

Comprehensive Understanding

Uncover how genes, proteins, and metabolism interact in health and disease.

Precision Diagnostics

Identify precise biomarkers for early and accurate disease detection.

Comprehensive Understanding

Uncover how genes, proteins, and metabolism interact in health and disease.

Targeted Therapies

Develop treatments specifically designed for individual disease profiles.

Personalized Medicine

Tailor prevention and treatment strategies to individual patient biology.

Accelerated Innovation

Speed up the translation of research findings into clinical practice and better healthcare outcomes.

Our Research & Collaborations

Pioneering Science Through Collaboration

Genomics

The activity drives technological innovation in cost-effective, high-performance genome, transcriptome, and epigenome analysis. The National Center for Medical Genomics provides modern sequencing platforms (eg. NovaSeqX, Oxford Nanopore, PacBio, AVITI) along with bioinformatics and statistical analysis to generate and interpret genetic data across individuals, families, and populations to unlock new insights into the molecular foundations of human health and disease.

Transcriptomics

The activity develops methodologies for single-cell and spatial multi-omics analysis, establishing a robust, cost-effective, and high-throughput workflow for comprehensive molecular multimarker profiling. By integrating digital sequencing to detect diagnostically relevant and rare gene variants, tissue-specific methylation profiling to identify disease foci, single-cell gene expression analysis, microRNA profiling, and spatial transcriptomics, the project will enable precise biomarker discovery, disease mapping, and the identification of novel therapeutic targets.

Metabolomics

The activity develops and operates methodologies for targeted and untargeted metabolomic and lipidomics, focusing on the comprehensive analysis of small molecules in biological samples. Using advanced mass spectrometry and chromatography, metabolomics provides insights into the chemical identity of metabolites and their roles in metabolic pathways, but also their function in health and disease. By comparing molecular profiles between healthy and diseased individuals, metabolomics enables the identification of biomarkers that support diagnosis, monitoring of disease progression, and evaluation of treatment effectiveness.

Multiomics BIOCEV

The project establishes a functionally complementary multi-omics technology platform that enables academic and industry partners to enhance the quality of research on genetic and biological correlates of both rare and common diseases, supports targeted research and the development of novel methodological, diagnostic, and therapeutic approaches, and ensure the transmission of research findings into clinical and laboratory practice.

Bioinformatics

The activity focuses on the development and application of innovative bioinformatics approaches for efficient processing of genomic data and advanced statistical analyses. The main goal is to design automated and reproducible workflows for the analysis and interpretation of data generated by cutting-edge genomic technologies. In addition, the project will establish and further develop methods for the bioinformatic processing of MULTIOMICS data, integrating results from genomic analyses with other omics layers.

Bioimaging

The activity focuses on developing advanced methods to detect selected proteins and metabolites in tissue samples, optimizing the acquisition and analysis of microscopic data, and harnessing state-of-the-art imaging platforms for studying protein localization, concentration, composition, and the presence of mutated or pathological proteins. The research targets the identification and analysis of protein biomarkers, investigation of cellular proteostasis, and localization of pathologically altered proteins and protein complexes.

Proteomics

This activity focuses on the development and operation of targeted and untargeted proteomics methodologies, including validation, design of final solutions for clinical laboratories, and promotion of new diagnostic workflows for proteomic analysis of body fluids. The main emphasis is on validating the detection and quantification of proteins as potential biomarkers of studied pathologies. The validated workflows will be adapted into a diagnostic kit for routine clinical use.

Published News

Consortium & Partners

Our project unites top academic institutions and innovative spin‑off companies to build and apply a cutting‑edge multiomics platform.

Charles University

Leading the scientific vision, project management and clinical integration.

Biotechnological Institute AV ČR

Expertise in gene expression analysis and advanced bioanalytics.

Microbiological Institute AV ČR

Specializing in structural biology, cell signaling and proteomics.

AffiPro, s.r.o.

Developing novel affinity‑based mass spectrometry technologies.

GeneSpector, s.r.o.

Innovating high‑throughput molecular diagnostics and point‑of‑care assays.

Additional Collaborators

National Center for Medical Genomics (NCLG), Mayo Clinic, Wake Forest School of Medicine and others providing international expertise.