Long-Read Sequencing of DNA Methylation — Direct Detection of 5mC, 5hmC & 6mA at Single-Nucleotide Resolution Using PacBio Revio & ONT PromethION

Long-Read Sequencing of DNA Methylation — Direct Detection of 5mC, 5hmC & 6mA at Single-Nucleotide Resolution Using PacBio Revio & ONT PromethION

Long-read sequencing of DNA methylation — direct 5mC detection on PacBio Revio and ONT PromethION platforms

CD Genomics provides long-read sequencing-based DNA methylation analysis on PacBio Revio and ONT PromethION platforms — detecting 5mC, 5hmC, 6mA, and 4mC directly from native DNA without bisulfite conversion, PCR amplification, or fragmentation. Single-molecule resolution enables haplotype-phased methylation calls and simultaneous genetic-epigenetic analysis from the same sequencing run.

Bisulfite conversion — the methodological cornerstone of DNA methylation analysis for over three decades — introduces a fundamental trade-off: it enables single-nucleotide resolution of 5-methylcytosine (5mC) at the cost of degrading 90–99% of the input DNA, fragmenting genomes into short pieces, and eliminating all sequence context beyond the methylation call itself. This trade-off is baked into every short-read bisulfite sequencing experiment, and it means that researchers studying DNA methylation in repetitive regions, GC-rich promoters, or large structural variant-associated differentially methylated regions have been working with incomplete or entirely missing data. Long-read sequencing of DNA methylation eliminates this trade-off entirely.

CD Genomics provides long-read sequencing-based DNA methylation analysis on both PacBio Revio (HiFi kinetic-based detection) and ONT PromethION (direct current-based detection) platforms. Both approaches detect native DNA modifications directly from unamplified, unmodified DNA — no bisulfite conversion, no PCR bias, no fragmentation. Single-molecule resolution means every methylation call is phased to its haplotype, localized within its repetitive genomic context, and directly comparable across alleles. This is not a supplement to bisulfite sequencing — it is a fundamentally different information layer that captures genetic sequence, epigenetic modification, and haplotype phase from the same native DNA molecule in a single experiment.

Why Long-Read Sequencing for DNA Methylation Analysis — Service Highlights

Why Long-Read Sequencing for DNA Methylation — and Why Direct Detection Changes the Question

DNA methylation is the most extensively characterized epigenetic modification in eukaryotic genomes, with 5-methylcytosine (5mC) at CpG dinucleotides serving as the primary regulatory mark in mammals. Additional modifications — 5-hydroxymethylcytosine (5hmC) in active demethylation intermediates, N6-methyladenine (6mA) in bacterial and emerging eukaryotic epigenomes, and N4-methylcytosine (4mC) in prokaryotes — expand the functional repertoire of DNA methylation across the tree of life. Profiling these modifications at single-nucleotide resolution across entire genomes has been the domain of whole-genome bisulfite sequencing (WGBS) for the past 15 years.

WGBS works, but it works within constraints that limit biological discovery. Bisulfite conversion under acidic conditions deaminates unmethylated cytosines to uracil while leaving 5mC intact — but the reaction simultaneously fragments DNA, reduces sequence complexity, and destroys the original methylation pattern's haplotype context. Short-read WGBS cannot determine whether two adjacent CpG sites are methylated on the same DNA molecule (cis) or on different molecules (trans), cannot read through repetitive elements where methylation plays critical regulatory roles, and cannot simultaneously detect sequence variation and methylation status on the same read. Every one of these constraints is eliminated by long-read direct methylation detection.

Long-read sequencing platforms detect DNA base modifications natively — PacBio through polymerase kinetics (the polymerase pauses at modified bases, creating measurable inter-pulse duration differences) and ONT through ionic current shifts (modified bases alter the electrical signal as DNA passes through the nanopore). Both approaches read the original DNA molecule without chemical transformation, preserving every modification in its native context and linking it to the underlying sequence on the same molecule. This direct detection unlocks methylation analysis in repetitive regions, haplotype-resolved epigenetic profiling, and simultaneous genetic-epigenetic analysis from a single sequencing run — capabilities that no short-read bisulfite method can provide. Our epigenetics and methylation analysis hub provides additional context on how long-read approaches compare with established methodologies.

Direct Long-Read DNA Methylation Detection Uses Native Physical Signals Rather Than Chemical Conversion

Direct long-read DNA methylation detection encompasses two distinct but complementary technologies, both of which identify base modifications by measuring a physical signal generated during sequencing rather than relying on chemical conversion.

PacBio SMRT sequencing with kinetic detection: During SMRT sequencing, DNA polymerase incorporates fluorescently labeled nucleotides into a growing strand while tethered at the bottom of zero-mode waveguide (ZMW) wells. The incorporation kinetics — specifically the inter-pulse duration (IPD) between successive nucleotide incorporations — are altered when the polymerase encounters a modified base. By comparing observed IPD ratios against an in silico unmodified reference model, base modifications are identified at single-nucleotide resolution. PacBio HiFi reads (Q30+, 15–25 kb) generated on the Revio system provide both the consensus sequence with variant calls and the kinetic modification calls from the same raw data. The kinetic detection is most sensitive for 4mC and 6mA modifications (common in bacterial epigenomes) and provides robust 5mC detection in CpG contexts for eukaryotic genomes.

ONT PromethION sequencing with current-based detection: As a single-stranded DNA molecule passes through a nanopore embedded in a synthetic membrane, the ionic current across the pore is measured thousands of times per second. Modified bases alter the current signature in a characteristic way that differs from unmodified bases. By comparing observed current signals to pore models trained on known modification states, ONT's basecalling software (Dorado with modified base models) identifies 5mC, 5hmC, and 6mA directly during the basecalling process. ONT PromethION reads (20–100+ kb) provide contiguous long-range methylation information spanning complete repetitive elements and haplotype blocks. The current-based detection is particularly effective for 5mC in CpG contexts across large eukaryotic genomes and, unlike kinetic detection, scales effectively to gigabase-sized genomes at lower per-sample cost.

The two approaches are complementary rather than competitive. PacBio kinetic detection offers superior single-molecule accuracy for targeted studies and bacterial epigenomics; ONT current detection provides the throughput and cost efficiency required for whole-genome methylation profiling in large eukaryotic genomes. Our service offers both platforms and helps match each project to the most appropriate detection strategy.

Long-Read Sequencing Provides Haplotype-Resolved, Multi-Modification Methylation Detection from Native DNA

Scientific Advantages

  • Bisulfite-free native modification detection

No chemical conversion means no DNA degradation, no GC bias, and no loss of sequence complexity. Long reads preserve the native methylation landscape including modifications in repetitive regions, GC-rich promoters, and centromeric/telomeric chromatin that are systematically under-represented or invisible in bisulfite-converted short-read data.

  • Haplotype-resolved and allele-specific methylation

Long reads spanning heterozygous SNPs phase methylation calls to individual haplotypes, enabling direct measurement of allele-specific methylation (ASM) without computational inference. Imprinted regions, X-chromosome inactivation patterns, and disease-associated ASM loci are resolved at single-molecule resolution rather than inferred from population-level bisulfite data.

  • Simultaneous sequence and epigenome from a single experiment

Every long-read methylation dataset simultaneously produces complete genome sequence data. SNV, indel, and structural variant calls are made from the same native DNA reads that produce the methylation data, enabling direct correlation of genetic and epigenetic variation without cross-experiment integration or batch-effect adjustment.

Business & Project Advantages

  • Dual-platform strategy with platform-matched project design

We match each project to the optimal platform: PacBio Revio for maximum single-molecule accuracy in focused studies, bacterial epigenomics, or targeted regions; ONT PromethION for cost-effective whole-genome methylation profiling in large eukaryotic genomes; or both for comprehensive cross-platform validation in method-development studies.

  • Integrated service modules covering the full epigenetic analysis spectrum

Our DNA methylation service integrates with complementary long-read epigenetic technologies — simultaneous methylation and chromatin accessibility via Fiber-seq, combined 3D genome architecture and methylation profiling via Pore-C, and high-accuracy chromatin contact mapping via HiFi-C — enabling multi-layered epigenetic analysis from a single provider.

  • End-to-end bioinformatics with validated methylation callers

Our computational team deploys platform-optimized methylation detection pipelines: Primrose and ccsmeth for PacBio HiFi kinetic data; Dorado modified-base models, Megalodon, and Nanopolish for ONT current-based data. Deliverables include per-site methylation frequency tables (BEDmethyl format), per-read modification status, DMR calls, and integrated reports.

PacBio Revio and ONT PromethION Offer Complementary Strengths for DNA Methylation Detection

The choice between PacBio Revio and ONT PromethION for DNA methylation analysis depends on the modification type, genome size, required throughput, and scientific question. The table below provides a direct comparison of detection principles and performance characteristics.

Feature PacBio Revio ONT PromethION Dual-Platform Strategy
Detection principle Polymerase incorporation kinetics (IPD ratio) Ionic current shift through nanopore Both physical signals captured
Modifications detectable 5mC (CpG), 5hmC, 6mA, 4mC, base damage 5mC, 5hmC, 6mA (with appropriate pore models) Comprehensive modification coverage
Best sensitivity for 6mA, 4mC (bacterial epigenomes); 5mC CpG in targeted regions 5mC CpG (large eukaryotic genomes) All modification types across taxa
Read length (typical) 15–25 kb (HiFi CCS) 20–100+ kb (native single-molecule) 15–100+ kb combined
Throughput per run ~90 Gb (SMRT Cell 8M) 100–290 Gb (flow cell) 190–380 Gb combined
Per-Gb cost Higher — optimal for targeted/focused studies Lower — optimal for whole-genome methylation at scale Cost-matched to project scope
Methylation phasing Single-molecule phasing via overlapping HiFi reads Single-read phasing via ultra-long contiguous reads Comprehensive phasing across all scales
Bioinformatics tools Primrose, ccsmeth, SMRT Link kinetics Dorado mod-base, Megalodon, Nanopolish Platform-optimized pipelines

Our Service Modules Combine Methylation Detection with Chromatin Accessibility and 3D Genome Analysis

Our long-read DNA methylation analysis extends beyond single-platform methylation calling. We offer a suite of integrated service modules that combine methylation detection with complementary epigenetic measurements, enabling multi-layered epigenome characterization from a single service provider. Each module is available as a standalone service or as an integrated component of a comprehensive epigenetic analysis project.

Standalone DNA Methylation Analysis

Core service: Direct detection of 5mC, 5hmC, and 6mA from native genomic DNA using either PacBio Revio kinetic detection or ONT PromethION current-based detection. Available as whole-genome methylation profiling (whole-genome shotgun libraries) or targeted methylation analysis (long-range PCR or adaptive sampling enrichment of specific loci). Per-site and per-read methylation calls are delivered in standard BEDmethyl and modified-base SAM tag (MM/ML) formats, enabling direct integration with established analysis workflows. This service is suitable for projects ranging from bacterial methylome analysis (PacBio preferred, 4mC/6mA focus) to whole-genome human 5mC profiling (ONT preferred for cost-effective genome-wide coverage) and targeted methylation analysis of imprinted regions, differentially methylated loci, or candidate gene promoters. See our epigenetics and methylation analysis resource for detailed method comparisons.

Fiber-seq — Simultaneous Chromatin Accessibility and DNA Methylation

Fiber-seq combines m6A methyltransferase labeling of open chromatin with PacBio HiFi sequencing to detect both chromatin accessibility and endogenous 5mC DNA methylation from the same native DNA molecules. A single Fiber-seq library produces three data layers simultaneously: (1) high-accuracy genome sequence with variant calls, (2) single-molecule chromatin accessibility profiles (nucleosome positioning, transcription factor footprinting), and (3) endogenous 5mC methylation status at single-nucleotide resolution. This multi-omics-per-molecule approach eliminates the need for separate ATAC-seq and bisulfite-seq experiments, reducing sample input requirements and cross-experiment technical variation. Fiber-seq is particularly valuable for projects requiring integrated maps of chromatin state and DNA methylation in the same cells — including developmental epigenetics, cancer epigenome characterization, and regulatory element discovery.

Pore-C — Combined 3D Genome Architecture and DNA Methylation

Pore-C is an ONT-based chromatin conformation capture method that simultaneously detects high-order (3+-way) chromatin contacts and native 5mC DNA methylation from the same long-read dataset. Unlike conventional Hi-C, which captures pairwise contacts from short reads and requires a separate bisulfite experiment for methylation analysis, Pore-C provides multi-way contact information and single-molecule methylation status in a single sequencing run. The ultra-long reads span multiple restriction fragments, revealing multi-locus chromatin interactions — promoter–enhancer hub structures, polycomb-repressed domain contacts, and CTCF-mediated loop architectures — while simultaneously reporting the methylation status of each contacted locus. This integrated approach is ideal for projects investigating the relationship between 3D genome organization and epigenetic regulation, including imprinting mechanisms, X-chromosome inactivation, and cancer genome rewiring. Pore-C requires 25–50× coverage for comprehensive contact and methylation analysis.

HiFi-C — High-Accuracy 3D Genome Architecture with Methylation Phasing

HiFi-C combines chromosome conformation capture with PacBio HiFi sequencing to deliver ultra-high-accuracy (Q40, 99.99%) multi-contact chromatin interaction maps with haplotype-resolved methylation phasing. HiFi-C achieves 77–94% valid contact rates (compared to 38–76% for Pore-C), making it the platform of choice for projects requiring the highest-confidence contact calls — T2T genome scaffolding, structural variant breakpoint mapping in repetitive regions, and polyploid haplotype resolution. Methylation status is reported on phased haplotypes, enabling allele-resolved analysis of methylation–chromatin interactions in diploid and polyploid genomes. HiFi-C can be performed with as few as 60,000 cells, opening applications in rare cell populations, clinical biopsies, and developmental time-series datasets where sample material is limiting.

Long-Read DNA Methylation Sequencing Addresses Cancer, Developmental, Microbial, and Neuroepigenetic Research Questions

Emerging applications of long-read DNA methylation sequencing extend into epigenetic clock and aging research, where single-molecule resolution enables detection of methylation drift in repetitive elements, centromeric satellites, and heterochromatic regions that short-read bisulfite methods systematically under-sample — providing a more comprehensive view of genome-wide epigenetic aging. Environmental epigenomics and forensic epigenetics represent additional growing areas where the ability to profile methylation in previously inaccessible genomic compartments is opening new research directions.

Cancer Epigenomics

  • Genome-wide profiling of 5mC and 5hmC in tumor genomes at single-molecule resolution, including differentially methylated regions in repetitive elements and GC-rich promoters that are inaccessible to short-read bisulfite sequencing. Long reads detect methylation changes in LINE-1 and Alu elements that drive genome instability, and reveal allele-specific methylation patterns at tumor suppressor loci that are invisible to bulk methylation arrays.
  • Simultaneous detection of methylation, structural variants, and copy-number alterations from a single long-read dataset enables integrated genetic–epigenetic characterization of tumors without multi-assay data integration. Our cancer research service page describes how long-read multi-omics supports these analyses.

Developmental and Imprinting Studies

  • Haplotype-resolved methylation analysis of imprinted regions, where allele-specific methylation patterns determine parent-of-origin expression. Long reads spanning heterozygous imprinted-region SNPs directly phase methylation calls to maternal and paternal alleles, resolving imprinting status at single-molecule resolution without requiring parental reference samples.
  • Single-molecule methylation analysis in gametes, embryos, and stem cells, where the relationship between DNA methylation reprogramming, chromatin state, and gene expression defines developmental potential. Fiber-seq and Pore-C modules provide parallel chromatin and methylation data for integrated analysis.

Bacterial and Microbial Epigenomics

  • PacBio Revio HiFi kinetic detection provides the highest sensitivity for 4mC and 6mA in bacterial genomes, enabling complete bacterial methylome characterization including the detection of restriction–modification (R-M) systems, phase-variable methyltransferases, and epigenetic regulation of virulence gene expression. Our microbial genomics with long-read sequencing service supports bacterial methylome projects with species-optimized protocols.
  • Metagenome-resolved methylation analysis of complex microbial communities, linking methylation patterns to individual microbial genomes through long-read metagenomic assembly.

Neuroepigenetics and Psychiatric Disease

  • Long-read methylation profiling of post-mortem brain tissue to characterize cell-type-specific methylation patterns, allele-specific methylation at neurological disease risk loci, and methylation differences in repetitive elements associated with neurodegenerative disorders. The single-molecule resolution of long-read detection is particularly valuable for quantifying methylation heterogeneity across individual DNA molecules in heterogeneous brain tissue.

Plant and Agricultural Epigenomics

  • Whole-genome methylation profiling in plant species with large, repetitive genomes (maize, wheat, soybean) where short-read bisulfite sequencing maps less than 60% of reads uniquely. Long reads spanning complete transposable elements and centromeric repeats resolve methylation patterns in the genomic compartments that drive plant genome evolution and phenotypic variation.

Our Pipelines Deliver Per-Site and Single-Molecule Methylation Calls with Integrated Multi-Omics Analysis

Analysis Feature Standard Package Advanced Package
Read preprocessing, basecalling (ONT Dorado mod-base or PacBio SMRT Link), and QC
Per-site methylation frequency (BEDmethyl format, MM/ML SAM tags)
Per-read single-molecule methylation status
Differentially methylated region (DMR) and differentially methylated CpG (DMC) analysis
Haplotype-resolved (allele-specific) methylation analysis
Methylation motif discovery and enrichment analysis
Integration with chromatin accessibility (Fiber-seq) or 3D contacts (Pore-C/HiFi-C) data
Functional annotation and pathway enrichment of methylated regions
Custom downstream analysis and publication-ready figures

Sample Input Requirements for Long-Read DNA Methylation on PacBio Revio and ONT PromethION

Category Requirement Notes
Sample type High-molecular-weight genomic DNA (tissue, blood, cells, or HMW DNA extract) Native, unmodified DNA — no bisulfite treatment required
Minimum input (PacBio Revio) 3–5 µg HMW DNA (whole-genome); 250 ng–1 µg (targeted amplification) DNA fragment size ≥ 30 kb recommended for optimal library yield
Minimum input (ONT PromethION) 1–5 µg HMW DNA (whole-genome); 200 ng–1 µg (targeted amplification or adaptive sampling) Ultra-long library preparation requires ≥ 5 µg with fragment size ≥ 50 kb
DNA quality A260/280 ≥ 1.8; A260/230 ≥ 1.8; no visible degradation; HMW fragment profile Assessed by FEMTO Pulse or TapeStation; degraded DNA reduces native modification detection yield
Coverage recommendation 30–60× (whole-genome methylation); 500–1,000× (targeted) Lower coverage sufficient for CpG-level methylation; higher coverage for single-molecule resolution
Shipping conditions Overnight on dry ice (tissue/DNA); ice packs (purified HMW DNA) See our sample submission guidelines for detailed instructions

CD Genomics Provides Dual-Platform Methylation Analysis with Platform-Agnostic Expert Guidance

Long-read is our specialty, not a side service.

CD Genomics is a long-read sequencing-focused service provider. Our DNA methylation analysis workflows are built from the ground up around PacBio Revio and ONT PromethION platforms — we do not default to short-read bisulfite sequencing and offer long-read as an afterthought. When you work with us, your methylation project is executed by a team whose core technology platform matches the direct-detection approach your project requires.

True dual-platform independence with platform-agnostic recommendations.

We operate both PacBio Revio and ONT PromethION in-house, with dedicated expertise in each platform's methylation detection chemistry and bioinformatics. Our project scientists provide platform-agnostic guidance based on your modification targets, genome size, and resolution requirements — not based on platform availability or margin considerations.

Platform-appropriate bioinformatics for methylation data.

PacBio and ONT methylation data require fundamentally different detection algorithms and downstream analysis tools. We deploy platform-optimized pipelines: Primrose/ccsmeth for PacBio kinetic data, Dorado modified-base models/Megalodon for ONT current-based data, with per-site and per-read methylation calls delivered in standard formats. We do not apply a one-size-fits-all pipeline to data from different platforms.

Integrated multi-omics epigenetic analysis from a single provider.

Beyond standalone methylation detection, our integrated service modules — Fiber-seq for simultaneous methylation + chromatin accessibility, Pore-C for methylation + 3D genome contacts, and HiFi-C for ultra-high-accuracy methylation + chromatin interaction mapping — enable comprehensive, multi-layered epigenetic characterization without coordinating across multiple service providers or reconciling data from incompatible platforms.

Published validation across diverse applications.

Our customer publication library includes studies spanning cancer epigenomics, bacterial methylome characterization, imprinting disorder research, and plant epigenetic diversity analysis, all generated using long-read sequencing-based methylation detection on CD Genomics platforms.

Case Study: Cross-Platform Benchmarking of PacBio HiFi and ONT for Whole-Genome DNA Methylation Detection

Ghanbari M, Kogelman LJA, Kjaer-Sorensen K, et al. Pig and quail CpG methylation datasets from short and long read sequencing technologies. Scientific Data. 2025;12:556. (CC BY 4.0)

1. Background

As long-read sequencing platforms for direct DNA methylation detection become more widely adopted, the research community requires systematic benchmarking datasets that compare methylation calls across technologies — including PacBio HiFi (Primrose kinetic detection), ONT (Megalodon/Guppy current-based detection), and short-read bisulfite methods (WGBS, EM-seq) — to understand platform-specific biases, concordance rates, and the biological validity of methylation calls from each approach. Ghanbari and colleagues generated comprehensive CpG methylation datasets from pig (Sus scrofa) and quail (Coturnix japonica) tissues using all four technologies, providing the first integrated multi-platform methylation reference for two non-human vertebrate species with distinct genome sizes and methylation landscapes.

2. Methods

Genomic DNA was extracted from pig liver and quail brain tissue and sequenced on four platforms: (1) PacBio HiFi on the Sequel IIe system with kinetic modification detection via Primrose (SMRT Link v12), generating 30–40× HiFi coverage per species; (2) ONT PromethION with R9.4.1 flow cells, basecalled with Guppy v5.0.17, and methylation called with Megalodon v2.5.0; (3) standard whole-genome bisulfite sequencing (WGBS) on Illumina; and (4) enzymatic methyl-seq (EM-seq). Inter-method CpG methylation correlation was assessed across all platform pairs, and platform-specific systematic biases were characterized in different genomic contexts including CpG islands, promoters, gene bodies, and repetitive elements.

3. Results

Cross-platform CpG methylation comparison from Ghanbari et al. 2025 — PacBio HiFi vs ONT vs WGBS vs EM-seq correlation Figure 2. Cross-platform CpG methylation concordance across pig and quail genomes. (A) Inter-method Pearson correlation coefficients for CpG methylation frequencies across all platform pairs. (B) Genomic context-specific correlation profiles comparing long-read platforms (PacBio HiFi, ONT) with short-read bisulfite methods (WGBS, EM-seq). From Ghanbari et al. (2025, Scientific Data, CC BY 4.0).

Key Findings

  • Inter-method CpG methylation correlation of 0.76–0.99 across all platform pairs — demonstrating that both PacBio HiFi kinetic detection and ONT current-based detection produce biologically valid CpG methylation calls that are broadly concordant with established bisulfite-based methods
  • Platform-specific biases were consistent across both species — ONT showed slightly higher concordance with WGBS at CpG-dense regions (CpG islands and shores), while PacBio HiFi showed improved performance in CpG-poor regions and GC-rich sequence contexts, reflecting the complementary strengths of kinetic vs current-based detection
  • Long-read platforms provided methylation data in repetitive elements that short-read bisulfite methods systematically under-sampled — in LINE/LTR elements and centromeric satellite repeats, both PacBio HiFi and ONT generated methylation calls at 3–5 times more CpG sites than WGBS from the same sequencing investment, directly validating the key advantage of long reads for methylation analysis in complex genomes
  • The integrated multi-platform dataset provides a community resource for benchmarking new methylation callers, developing cross-platform normalization methods, and establishing best practices for long-read DNA methylation analysis in non-human vertebrates

4. Conclusions

This study provides direct experimental validation that both PacBio HiFi kinetic detection and ONT current-based detection produce accurate, biologically interpretable CpG methylation profiles that are broadly concordant with established bisulfite-based methods, with platform-specific complementary strengths in different genomic contexts. Critically, the data confirm that long-read platforms provide methylation information in repetitive genomic compartments that short-read bisulfite methods systematically miss — not as a marginal improvement but as a qualitative expansion of the accessible epigenome. These findings directly validate our dual-platform service design: for projects centered on CpG islands and promoter methylation (e.g., cancer biomarker discovery), ONT PromethION currently offers the best concordance with legacy bisulfite data; for projects investigating methylation in repetitive elements, gene-poor regions, and complex genomic contexts (e.g., transposable element regulation, centromere biology), both long-read platforms substantially outperform short-read bisulfite methods, and PacBio HiFi provides the highest single-molecule accuracy for mechanistic studies.

When to Choose Long-Read DNA Methylation Sequencing — and When Alternative Methods May Be More Suitable

Choose long-read DNA methylation sequencing when:

Consider alternative methods when:

CD Genomics provides free project consultation to help determine the optimal DNA methylation analysis strategy for your specific research question. Contact our scientists to discuss your project requirements.

QC Standards and Data Interpretation Boundaries for Long-Read DNA Methylation Sequencing

Quality Control Metrics

QC Parameter Minimum Requirement Recommended Target
Per-site CpG coverage depth (whole-genome) 10× per CpG site ≥30× for reliable CpG methylation frequency calls
Modification probability score (Q-value threshold) ≥Q20 (modified-base Phred score) ≥Q30 for high-confidence single-molecule calls
Alignment rate to reference genome 70% ≥85% for high-quality HMW DNA libraries
Per-read modification call rate 60% of CpG sites with coverage ≥80% for full genome-wide methylation assessment
DMR identification (minimum CpG sites per DMR) 3 CpG sites ≥5 CpG sites with methylation difference ≥20%

Interpretation Boundaries

  • Long-read DNA methylation data are for research use only. Methylation calls are based on statistical models trained on known modification patterns and may be affected by basecalling model version, coverage depth, and sequence context. All modification calls should be interpreted as probabilities, not absolute determinations
  • Platform-specific biases exist and are well-characterized. PacBio kinetic detection and ONT current-based detection have complementary strengths in different genomic contexts. Cross-platform methylation concordance is 0.76–0.99 depending on genomic region and coverage depth. Projects using only one platform should interpret calls in CpG-poor regions with appropriate caution
  • Single-molecule methylation calls require appropriate coverage for confidence. Per-read modification status at individual CpG sites becomes statistically robust at 30–60× coverage. At lower coverage, per-site aggregate methylation frequency (fraction of modified reads) is more reliable than individual read-level calls
  • DNA quality at the time of extraction determines data quality. Degraded DNA reduces native modification detection yield and can introduce bias toward unmodified fragments. HMW DNA with fragment size ≥30 kb (PacBio) or ≥50 kb (ONT ultra-long) is recommended for optimal methylation detection
  • DMR calls should be validated when possible. Differentially methylated region identification from long-read data uses statistical models that may be affected by coverage differences between samples, sequencing batch effects, and the choice of DMR caller. For high-impact findings, validation by orthogonal methods (targeted bisulfite sequencing or independent long-read replication) is recommended

FAQs

Methylation Analysis Deliverables Include Per-Site Frequencies, Single-Molecule Status, and Integrated Reports

1. Per-site CpG methylation frequency table (BEDmethyl format) with coverage depth and modification probability scores for every CpG site in the genome

2. Per-read single-molecule methylation status file (MM/ML SAM tags) for allele-specific and haplotype-resolved methylation analysis

3. Differentially methylated region (DMR) calls with genomic annotation, effect sizes, and statistical significance across experimental groups

4. Methylation browser tracks (bigWig, BED) for visualization in IGV or UCSC Genome Browser, including per-context tracks for CpG, CHG, and CHH methylation (ONT data)

5. Optional: integrated multi-omics report combining methylation, chromatin accessibility (Fiber-seq), or 3D contact data (Pore-C/HiFi-C) with correlation analysis and publication-ready figures

Sample methylation calling report showing per-site CpG methylation frequencies, coverage tracks, and DMR visualization across chromosomes

For research use only. Not for use in diagnostic procedures.

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