Direct Whole Methylome Sequencing (gDNA)

A Paradigm Shift in Liquid Biopsy

The methylation industry is transforming, but legacy methods like microarrays and bisulfite sequencing still lack the sensitivity for clinical integration, hindering biomarker discovery and clinical impact. Wasatch BioLabs’ Direct Whole Methylome Sequencing (dWMS) delivers a comprehensive solution, offering whole genome sequencing and methylation analysis with unmatched quality and flexibility.

• Superior CpG Coverage

Analyze up to 27 million CpG sites, surpassing traditional arrays (~900,000 CpGs)

• Unbiased Data

Gain a complete view of the genomic DNA methylome, free from constraints of predefined regions or probes.

Coverage*

Applications

Sample Per Flow Cell

5x

Screening and regional analyses.

4

10x

Methylation quantification and variant detection.

2

30x

Comprehensive methylome analysis and detailed variant detection.

1

30-50x +

Genome Assembly

0.5 - 1

Optimized coverage for your study’s needs

Designed to meet the needs of research and biomarker discovery, dWMS delivers scalable multi-omic solutions to advance assay development, epigenetic studies, and beyond.

Poineering Epigenetic Discovery

Traditional methylation technologies leave researchers guessing—are regions uniformly 10% methylated, or is methylation concentrated in just 10% of the region? 

Wasatch BioLabs’ dWMS service resolves this uncertainty. By analyzing over 96% of CpGs across the genome, dWMS captures the full methylation context across entire DNA molecules with native reads, enabling precise, molecule-level analyses. 

Capturing 30X more CpG sites and 2X more CpG islands without bisulfite or amplification biases, researchers gain a comprehensive view of methylation, hydroxymethylation, and DNA sequence—all in a single run.

Methylation
Array

Bisulfite
Sequencing

WBL dWMS Sequencing

Methylation

Hydroxy
methylation

Additional Base Modifications

Bisulfite
Conversion-Free

Approximate CpG Coverage

Up to 900,000 CpGs
Variable*
Over 27 Million CpGs

* Requires Additional Processing And Sequencing  

~ Based On Depth And Sequencing Goals

Direct Whole Methylome In Action

dWMS identifies 2.4x more differentially methylated CpG islands (CGIs) than traditional microarrays. gDNA was extracted from Tissue 1 (n=4) and Tissue 2 (n=4) and analyzed with both methylation array and dWMS. dWMS captured 2.4 times more CGIs containing significant differential methylation between the two tissues, including 91% of those detected by the array.

Minimal Batch Effectsaa

dWMS data enables bioinformatic identification of cell-type-specific methylation signatures and cell-of-origin from complex multi-CpG patterns. gDNA was extracted from Tissue 1 (n=1) and two purified cell types (Type 1, n=1; Type 2, n=1), then sequenced with dWMS. A representative 101 bp differentially methylated region highlights methylation patterns unique to Cell Type 2. Each ONT track represents single reads: red marks methylated sites, blue unmethylated.

The Genomic Advantage of long reads

Leveraging nanopore sequencing, dWMS long reads resolve repetitive regions, structural variants, phasing, and other complex genomic features. This capability enhances genome assemblies, reveals complex regulatory elements, and provides deeper insights into genomic architecture.

Short Reads

ONT Long-Reads

DNA Sequence

Small Nucleotide Variants

Structural Variants
(Deletions, Insertions, Duplications, Inversions, Translocations)

Repetitive Regions

GC-Rich Regons

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Research and Discovery Applications

As an ecosystem-driven platform, dWMS overcomes the limitations of legacy methylation technologies, enabling the seamless transition from biomarker discovery to clinical applications—all on one platform.

Biomarker Discovery
Captures up to 96% of CpG methylation sites, enabling exploration of methylation linked to gene expression and disease.
Targeted Methylome Analysis‍

Provides focused sequencing for analyzing specific methylation regions of interest for precise clinical assay development and actionable insights.
Oncology

Supports the detection of cancer-associated methylation and genomic variations for biomarker discovery and treatment research.
Clinical Assay Optimization

WBL’s platform is optimized for clinical workflows, ensuring assays are fit for RUO, GCP, and CLIA standards, and ready for reliable integration into clinical environments.
Systems Biology

Integrates genomic and epigenomic data for systems-level research into cellular regulation and tissue interactions.
High-Throughput Clinical Scaling
Scalable solutions that allow for the efficient transition of validated assays into high-throughput clinical applications, ensuring consistency and cost-effectiveness without compromising data quality.
Figure 1. Tedania ignis, commonly known as the fire sponge, is a vibrant marine sponge found across the Atlantic and Caribbean regions. Known for its striking red coloration and bioactive compounds, this species serves as a valuable model for ecological and biomedical research.
Figure 2. Fire sponge genome assembly workflow. Steps include extracting DNA, selecting for high molecular weight (> 5kb) DNA, dWMS library preparation, long-read nanopore sequencing, and genome assembly using Flye.
Figure 3. Complete BUSCO (%) comparison across sponge species and their taxonomic classes. gDNA was extracted from T. ignis tissue using a methanol-based protocol to inhibit nucleases and reduce DNA degradation, then sequenced with dWMS. A BUSCO analysis was performed, comparing genome completeness across sponge species.

Service Highlight

Genome Assembly: Decoding The Fire Sponge

To support genome assembly studies, Wasatch BioLabs offers three scalable solutions that deliver assembled genome DNA sequence and methylation data: moderate-coverage draft genomes for gene discovery, ultra-long-read chromosome-level assemblies for resolving complex regions, and advanced assemblies integrating RNA sequencing for functional insights. These unbiased, high-quality de novo assemblies accommodate any species and genome length, leveraging long reads to resolve complex regions with precision.

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