Multiomic Sequencing Methods

Multiomics methods

Explore a wide array of sequencing methods for omics applications

Simplifying the approach to multiomics

Understanding which multiomics approach to use in your next experiment can be a daunting process. Our table helps you navigate and select the various omics studies with solutions that best suit your needs. Explore benefits and solutions for multiomics applications such as bulk sequencing, single-cell, and spatial sequencing methods.

Bulk sequencing

Bulk sequencing refers to an approach that pools cell populations, tissues, and other samples to arrive an average measurement. This method is useful for a wider breadth of analysis that is also cost effective when evaluating differences between samples.

  Key Benefit Library Prep System(s) Informatics
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Genomics

Whole-Genome Sequencing Key BenefitSee the entire genome Library Prep System(s) Informatics
Exome Sequencing Key BenefitDetect exonic variants Library Prep System(s) Informatics
  Key Benefit Library Prep System(s) Informatics
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Epigenetics

Methylation Sequencing Key BenefitExplore the methylome Library Prep System(s) Informatics
ChIP-Seq Key BenefitUnderstand gene regulation Library Prep System(s) Informatics
ATAC-Seq Key BenefitMap chromatin accessibility across the genome Library Prep System(s) Informatics
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Transcriptomics + Proteomics

BEN-Seq Key BenefitGet gene expression and surface protein expression profiles simultaneously Library Prep System(s) Informatics
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Liquid Biopsy

ctDNA Sequencing Key BenefitNoninvasive approach detecting ctDNA in plasma from solid tumors Library Prep System(s) Informatics
  Key Benefit Library Prep System(s) Informatics
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Solid Tumor

Targeted Cancer Screening Key BenefitIdentify all mutational classes and IO biomarkers in a single assay Library Prep System(s) Informatics

Single-cell sequencing

Single-cell sequencing is an advanced method that allows analysis of omic sequences at the resolution of individual cells. Such an approach allows researchers to comprehensively evaluate heterogeneity of populations that otherwise might be missed in bulk sequencing studies.

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RNA Single-Cell RNA-Seq Key BenefitReveal transcriptome cell-to-cell variation SolutionSingle-Cell RNA-Seq method is compatible with the NovaSeq 6000 and NextSeq 2000 platforms, with library prep and data analysis provided by 10X Genomics or through the Illumina DRAGEN Single Cell BaseSpace App. Learn MoreLearn More at 10X
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Epigenetics Single-Cell ATAC-Seq Key BenefitAccess chomatin accessibility patterns to view cell-to-cell variation SolutionSingle-Cell ATAC-Seq method is compatible with the NovaSeq 6000 and NextSeq 2000 platforms, with library prep and data analysis provided by 10X Genomics and open source tools such as Bowtie 2 and Seurat by the Satija Lab. Learn MoreLearn More at 10X
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RNA + Epigenetics Single-Cell Gene Expression + ATAC-Seq Key BenefitCorrelate transcriptome and chomatin accessibility patterns at the single-cell level SolutionUtilize the Multiome Single-Cell ATAC-Seq + gene expression prep kit from 10X genomic on the NovaSeq 6000 and NextSeq 2000 platforms. Learn MoreDownload Tech Note
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RNA + Proteomics CITE-Seq Key BenefitEvaluate gene expression and surface protein expression levels simultaneously at single-cell resolution SolutionCITE-Seq is compatible with the NovaSeq 6000 and NextSeq 2000 platforms, with compatible antibodies from BD or BioLegend and single-cell prep kits from 10X Genomics. Analysis tools can also be found from 10x Genomics, BD or BioLegend. Learn MoreLearn more about BioLegend solutions
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DNA + Protein Proteomics Key BenefitCorrelate known tumor genomic variants to cell-surface proteins at single-cell resolution SolutionThe Mission Bio DNA + protein panel for tumor samples is compatible with the NextSeq 2000 platform, with compatible antibodies from BioLegend and the prep instrument, prep kit, and analysis tools from Mission Bio Learn MoreLearn more about Mission Bio's Tapestri Platform

Spatial sequencing methods

Spatial sequencing methods offers a contextual view of cell activity and information as it combines omic information within intact tissues. This allows researchers to gain unprecedented insights to unravel the structure and function of complex tissues.

Spatial Methods
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RNA RNA-Seq Spatial Key BenefitUnderstand the gene expression patterns from a particular region of interest within FFPE or fresh frozen tissue sections SolutionRNA-Seq spatial sequencing is compatible with NovaSeq 6000 and NextSeq 2000 Platforms, with library prep and data analysis provided by NanoString Learn MoreDownload Tech Note
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RNA + Proteomics CITE-Seq Spatial Key BenefitCorrelate targeted gene expression and protein expressions patterns from FFPE or fresh frozen tissue sections SolutionCITE-Seq Spatial sequencing is compatible with NovaSeq 6000 and NextSeq 2000 Platforms, with library prep and data analysis provided by NanoString Learn MoreLearn more about Nanostring solutions