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The duet family | biomodal
The duet product family

Have it all. Without compromise.

Generate genetic and epigenetic insights from the same sample without compromising accuracy, biological insight or workflow simplicity.

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One sample.
More insight.
No compromise.

Researchers often face difficult choices. Prioritize genetics or epigenetics. Choose sensitivity or specificity. Preserve variant detection or measure DNA methylation. Run multiple workflows but face the challenge of integrating results later.

duet removes these trade-offs by design. Most methylation detection methods convert cytosines to read their modification state, but conversion alone destroys genetic information and can make a true C>T mutation indistinguishable from a methylation signal. duet's hairpin architecture captures a complementary copy of each fragment's genetic sequence before conversion, and its read-resolution software compares both strands to recover the original base, preserving confident C>T variant calling, suppressing sequencing and PCR errors, and delivering methylation calls with market-leading sensitivity and specificity.

The result is genetic and epigenetic data of a quality that traditional conversion methods can't reach. Better biological insights start with better data, and the duet family delivers.

Why choose duet?

01

A fundamentally better chemistry

duet's hairpin architecture captures your genetic sequence before conversion and reconstructs it from two strands, so you get accurate C>T variant calling, built-in error suppression and high-resolution methylation, from the same sample.

02

Accurate genetic insight

Measure genetic variants with confidence, including accurate detection of C>T variants, while generating epigenetic information from the same sample.

03

Market-leading methylation accuracy

duet delivers methylation calls with exceptional sensitivity and specificity: approximately 99.9% modC specificity and ~98.5% sensitivity, meaning roughly 9× fewer false-positive calls and ~62% fewer missed events than other methods.1 With duet evoC, 5mC and 5hmC are resolved as distinct signals (each at ~98% sensitivity), revealing biology that other methods can't separate.

04

Built-in error correction

Because duet reads both the original and copy strands, its read-resolution software flags implausible, non-canonical strand pairings as no-calls, filtering out sequencing and PCR errors that single-strand methods carry through to their results.

05

A more complete view of biology

Genetic and epigenetic signals are most powerful from the same molecule, not stitched together from separate workflows. In a Stage I CRC cfDNA study, a duet multiomic classifier reclassified six samples a methylation-only model missed, including two Stage I patients.2

06

Your data. Your infrastructure.

Analyze your data your way. Run on a workstation, HPC, or cloud environment using community-standard outputs and modality XPLR for biological interpretation.

1 Comparison vs. Illumina 5-base published performance. https://www.illumina.com/science/genomics-research/articles/5-base-solution.html
2 EACR 2026; CRC cfDNA cohort (32 controls / 26 CRC).

Find your duet solution

Choose your level of biological insight

Applications

The duet family supports a wide range of research applications where genetic and epigenetic information work together to shape biology.

  • Aging studies
  • Allele-specific methylation analysis
  • Biomarker discovery
  • Cancer research
  • Differential methylation analysis
  • Epigenotyping
  • Fragmentomics
  • Liquid biopsy (cfDNA/ctDNA) studies
  • Minimal residual disease (MRD) assay development
  • Multi-cancer early detection (MCED) assay development
  • Neurodegenerative research
  • Neuroscience and developmental biology
  • Population studies, including epigenome-wide association studies (EWAS)
  • Simultaneous detection of genetic variants and methylation
  • Tumor profiling, including FFPE
  • Whole-genome or targeted methylation sequencing

Publications and resources

Explore how researchers are using integrated genetic and epigenetic analysis to investigate disease biology, develop biomarkers, and study gene regulation.

Resource library 6-Base Genome Analysis Reveals Early Biological Signals in Colorectal Cancer with AstraZeneca's Sophie Kirschner, PhD Integrative liquid biopsy reveals resistance mechanisms in prostate cancer, with NCI's Adam Sowalsky, PhD NCI researchers: 6-base sequencing has potential to transform liquid biopsy utility without parallel tissue. Genetic and epigenetic dysregulation of CR1 in catastrophic antiphospholipid syndrome. OGT prevents DNA demethylation and suppresses transposable elements by restraining TET activity genome-wide. Independent 5mC and 5hmC analysis reveals deeper biological insight.

FAQs

What is multiomic sequencing?
Multiomic sequencing combines multiple layers of biological information, such as genetic sequence and epigenetic modifications, from the same sample.
How does duet work?
Like other methods, duet chemically converts unmodified cytosines to read methylation state. What makes duet different is that its hairpin adapter first creates a complementary copy of each DNA fragment, capturing the genetic sequence before conversion. Both the original and copy strands are sequenced, then duet's read-resolution software aligns them base-by-base: modified and unmodified cytosines are distinguished, the original genetic base is reconstructed (preserving C>T SNP detection), and any implausible strand pairings, the signature of a sequencing or PCR error, are flagged as no-calls and filtered out. This two-strand design is what lets duet deliver high-quality genetic and epigenetic data from a single sample, without the genetic compromises inherent to single-strand conversion methods.
How accurate is duet methylation data?
duet resolves modified cytosines with approximately 99.9% specificity and ~98.5% sensitivity, roughly 9× fewer false-positive methylation calls and ~62% fewer missed events than other 5-base methods. duet evoC and duet 6-base mosaic resolve 5mC and 5hmC as independent signals, each at approximately 98% sensitivity, enabling biological insights that other methods can't provide.
Does duet include quality controls?
Yes. Integrated methylation controls are included in every duet kit, allowing you to confirm conversion performance and data quality for each sample in every run, without ordering or validating separate controls. Built-in quality assurance is standard across the entire duet family.
Why generate genetic and epigenetic data together instead of assaying genetics first and adding methylation later?
Separating genetics and epigenetics across multiple workflows often means additional sample consumption, additional analysis steps, more lab time, and separate datasets that must be reconciled downstream. The duet family generates genetic and epigenetic information from the same sample in a single workflow, enabling researchers to investigate how genetic and epigenetic changes interact without sacrificing data quality or workflow simplicity.
What is the difference between duet +modC and duet evoC?
duet +modC measures genetic variants and modified cytosine (modC, a combined signal that does not differentiate mC from hmC, it simply tells you there is some modification on a given cytosine). duet evoC additionally resolves 5mC and 5hmC as distinct biological signals.
Which duet solution is right for me?
Choose duet +modC when you want integrated genetics and epigenetics and do not require independent 5mC and 5hmC resolution. Choose duet evoC when you believe understanding the distinct biology of 5mC and 5hmC is important to your research, and/or if you're not sure and want to have the most information possible from your sample. Choose mosaic products when working only with cfDNA.
Can I use duet with my existing sequencing infrastructure?
Yes. duet workflows are designed to work with standard short-read sequencing platforms and existing sequencing workflows.
Is duet a DNA methylation sequencing kit or a multiomic sequencing workflow?
duet is more than a DNA methylation sequencing kit. It combines library preparation, sequencing analysis and multiomic interpretation so researchers can read genetic and epigenetic information from the same sample.

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