What is Multiomics?

Multiomics (multiple omics) provides an integrated perspective to power discovery across multiple levels of biology. This biological analysis approach combines genomic data with data from other modalities such as transcriptomics, epigenetics, and proteomics, to measure gene expression, gene activation, and protein levels.

Multiomics profiling studies enable a more comprehensive understanding of molecular changes contributing to normal development, cellular response, and disease. Using integrative omics technologies, researchers can better connect genotype to phenotype and fuel the discovery of novel drug targets and biomarkers.

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Multiomics is Revolutionizing Research

Learn why these research leaders decided to use multiomics in their work.

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Multiomics Multiplies Your Discovery Power

See how you can use multiomics to better connect genotype to phenotype and obtain a full cellular readout not found through single omics approaches.
Learn About Multiomics at a Glance

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Popular Omics Profiling Techniques & Technologies

Approach Definition Common Technologies & Techniques
  • Focuses on the structure, function, evolution, mapping, and editing of information coded within an organism’s DNA (the genome).
  • The study of how cells control gene activity through non-genetic modifications like DNA methylation and histone modification.
  • The study of the transcriptome, the complete set of RNA transcripts that are produced by the genome, and how it is altered in response to regulatory processes, splicing, disease, or other phenomena.
  • Characterize and identify protein expression patterns in response to specific stimuli or following genomic or transcriptomic changes.
  • Mass spectrometry
  • Mass cytometry
  • NGS-based protein detection (e.g. SOMAmer® reagents, CITE-Seq, BEN-Seq, Olink, Ab-Seq)
multiomics infographic

Why Adopt Multiomics?

Multiomics offers the following benefits:

  • It allows researchers to directly measure causes and consequences of biological phenotypes, rather than make inferences from incomplete data.
  • It helps researchers better connect genotype to phenotype, providing scientific insights that cannot be found from single omics methods alone and helping to fuel the discovery of novel drug discovery targets.
  • It multiplies discovery power and provides a more holistic view of biological systems by allowing researchers to witness the complicated interplay between the molecules of life.

Multiomics is also becoming more accessible. The cost of high-throughput sequencing (price/Gb) has decreased by >90% over the past decade. At the same time, grant funding has increased for multiomic studies (since 2012, there has been a 48% average year-over-year increase in the number of active or starting grants for multiomics studies).

A multiomic approach increases our understanding of biology by helping us see things that would be hidden with one type of data.

Pejman Mohammadi, PhD Associate Professor of Computational Biology, Scripps Research

Top 5 Multiomics Profiling Approaches

Genomics + Transcriptomics

Incorporating RNA-Seq can help researchers annotate and prioritize variants for functional analysis to understand mechanisms of disease. A multiomics approach to functional genomics can help power drug target identification and biomarker discovery.

Genomics + Epigenetics

Comprehensive epigenetic profiling can reveal patterns of gene regulation to help find the function of variants identified by GWAS. Multiomics approaches that combine methylation or other epigenetic profiling with genetic information can connect functional layers to decipher complex pathways and disease mechanisms.

Genomics + Epigenetics + Transcriptomics

The integration of genomics plus epigenetics and RNA-Seq can help researchers identify candidate genes and understand the mechanisms controlling interesting phenotypes. This holistic, non-biased multiomics approach can uncover new regulatory elements for biomarkers and therapeutic targets.

Transcriptomics + Proteomics

Combining protein detection with RNA-Seq can tie new discoveries back to known canonical markers and historical clinical outcomes. When cell surface markers are more robustly analyzed through multiomics, there are more chances to catch a signal that is important to you.

Genomics + Proteomics

This multiomic approach directly connects genotype to phenotype for more informed research on disease and therapeutics development. Linking genetic variation to protein expression at the single-cell level can reveal the functional impact of somatic mutations on human cancers to better understand tumor evolution and disease progression.

learn about panomic-based drug discovery

Value of a Panomics-Based Drug Discovery Approach

Learn how researchers uncovered novel diagnostic and therapeutic targets for common chronic diseases by integrating imaging, genomics, transcriptomics, epigenetics, and big data.

Read Interview

Single omics can be useful for straightforward questions, but for some of the most complex problems in biology, you want to have as much information as possible. That’s where multiomics really shines.

Danny Wells, PhD, Scientific Co-Founder and Senior Vice President of Strategic Research, Immunai

Featured Webinars

webinar - from variant to function
From Variant to Function: Using Multiomics to Understand Blood Disorders

Multiomics sequencing is a powerful approach for evaluating variant effects through measurement of multiple layers of information.

webinar - multiomic analyses
Multiomics Analyses: Why Are They Needed?

Discusses how approaches for epigenetics analyses and other omics can be used and integrated to examine different levels of genome activity in tissues and cells.

webinar - omics-based precision medicine
Omics-Based Precision Medicine Methods

There are many potential uses of omics-based precision medicine in large academic medical centers, ranging from planning a baby to molecular autopsy.

Common Multiomics Applications

Cancer Research

Cancers are complex, necessitating genomic, transcriptomic, epigenetic and proteomic characterization. Multiomics offers the sensitivity to potentially detect rare variants and provide more data in less time.

Cell & Molecular Biology

Single-cell multiomics analysis illuminates how genes are expressed and regulated across different cell types. Integrated multiomic data sets can deepen our understanding of cellular phenotypes.

Genetic & Complex Disease Research

A multiomics approach can uncover deeper biological context to disease-causing variants and accelerate our understanding of common disorders, unlock new pathways, biomarkers, and drug targets.

Highlighted solutions

Connecting single-cell gene expression and chromatin accessibility with 10x Genomics

A protocol for simultaneous profiling of the transcriptome and epigenome from single cells

Probe the immune system at single-cell resolution with 10x Genomics

A multiomic approach to determine how the adaptive immune system functions

Enabling single-cell proteomics using TotalSeq-A and NGS with BioLegend

Optimizing use TotalSeq antibodies for detection of cell surface proteins and RNA transcripts in cell populations

High-plex spatial proteogenomics of FFPE tissue sections with NanoString

Revealing the tissue architecture of astrocytoma and glioblastoma

Correlating the expression of protein and RNA with BioLegend

Learn more about single-cell sequencing technologies that combine analysis of RNA and protein

Frequently Purchased Together

Get help finding the right solutions for your multiomics studies.

  1. Cell Biologist Market Research. Percepta Associates, Inc. Accessed 2021.
  2. Cell Biology Market Research. Percepta Associates, Inc. 2020.
  3. Digital Science. Dimensions [Software] available from Accessed May 21, 2021, under license agreement.