Novogene AMEA
  • Novogene AMEA
  • Genomics
    • Human Whole Genome Sequencing
    • Plant and Animal Whole Genome Sequencing
    • Microbial Whole Genome Sequencing
    • Plant and Animal De novo Sequencing
    • Microbial De novo Sequencing
    • Shotgun Metagenomics Sequencing
    • Amplicon Sequencing
    • Whole Exome Sequencing
    Transcriptomics
    • mRNA Sequencing
    • Total RNA Sequencing
    • Full-Length Transcriptome Sequencing
    • Whole Transcriptome Sequencing
    • Small RNA Sequencing
    • Circular RNA Sequencing
    • Metatranscriptome Sequencing
    • Prokaryotic RNA Sequencing
    Single Cell & Spatial Omics
    • Single Cell Gene Expression
    • Single Cell Immune Profiling Sequencing
    • Single Cell Long Read Transcriptome
    • Visium HD Spatial Gene Expression
    • Stereo-Seq Spatial Gene Expression
    • Xenium In Situ Spatial Transcriptome
    Epigenomics
    • Whole Genome Bisulfite Sequencing (WGBS)
    • Directed DNA Methylation Sequencing (DM-Seq) NEW
    • Reduced Representation Bisulfite Sequencing (RRBS)
    • Chromatin Immunoprecipitation Sequencing (ChIP-seq)
    • RNA Immunoprecipitation Sequencing (RIP-seq)
    • Assay for Transposase-Accessible Chromatin with Sequencing (ATAC-seq)

    Premade Library

    • Sequencing Only on Illumina Sequencer
    • Sequencing Only on PacBio Sequencer
    Proteomics and Metabolomics
    • Olink Proteomics
    • Quantitative Proteomics
    • Untargeted Metabolomics
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    • Automated Delivery Platform (Falcon)
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    • Cancer Research
    • Immuno-oncology
    • Agrigenomics
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    • Food Science
    • Human Microbiome
    • Plant and Animal Microbiome
    • Drug Discovery and Development
    • Rare and Complex Diseases
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Services
Whole Genome SequencingDe novo SequencingAmplicon SequencingShotgun Metagenomic SequencingDirected DNA Methylation Sequencing (DM-Seq)mRNA SequencingSingle Cell Gene ExpressionVisium HD Spatial Gene ExpressionXenium In Situ Spatial TranscriptomeOlink ProteomicsUntargeted Metabolomics
Support
NovoMagic Bioinformatics Analysis ToolCustomer Service SystemFalcon Intelligent Delivery Platform
Company
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Copyright © 2026 Novogene Inc. All rights reserved.For Research Use Only. Not for Clinical Diagnostic Use.
Novogene AMEA
  • Novogene AMEA
  • Genomics
    • Human Whole Genome Sequencing
    • Plant and Animal Whole Genome Sequencing
    • Microbial Whole Genome Sequencing
    • Plant and Animal De novo Sequencing
    • Microbial De novo Sequencing
    • Shotgun Metagenomics Sequencing
    • Amplicon Sequencing
    • Whole Exome Sequencing
    Transcriptomics
    • mRNA Sequencing
    • Total RNA Sequencing
    • Full-Length Transcriptome Sequencing
    • Whole Transcriptome Sequencing
    • Small RNA Sequencing
    • Circular RNA Sequencing
    • Metatranscriptome Sequencing
    • Prokaryotic RNA Sequencing
    Single Cell & Spatial Omics
    • Single Cell Gene Expression
    • Single Cell Immune Profiling Sequencing
    • Single Cell Long Read Transcriptome
    • Visium HD Spatial Gene Expression
    • Stereo-Seq Spatial Gene Expression
    • Xenium In Situ Spatial Transcriptome
    Epigenomics
    • Whole Genome Bisulfite Sequencing (WGBS)
    • Directed DNA Methylation Sequencing (DM-Seq) NEW
    • Reduced Representation Bisulfite Sequencing (RRBS)
    • Chromatin Immunoprecipitation Sequencing (ChIP-seq)
    • RNA Immunoprecipitation Sequencing (RIP-seq)
    • Assay for Transposase-Accessible Chromatin with Sequencing (ATAC-seq)

    Premade Library

    • Sequencing Only on Illumina Sequencer
    • Sequencing Only on PacBio Sequencer
    Proteomics and Metabolomics
    • Olink Proteomics
    • Quantitative Proteomics
    • Untargeted Metabolomics
  • PromotionsPromotions
    • Platforms
    • Automated Delivery Platform (Falcon)
    • Bioinformatics Analysis Tool (NovoMagic)
    • Customer Service System (CSS)
    • Brochures
    • Case Studies
    • Webinar
    • Blog
    • Sample Guidelines
    • Cancer Research
    • Immuno-oncology
    • Agrigenomics
    • Environment
    • Food Science
    • Human Microbiome
    • Plant and Animal Microbiome
    • Drug Discovery and Development
    • Rare and Complex Diseases
    • About Us
    • Our Locations
    • News
    • Careers
  • Contact UsContact Us

ServicesServices menu

SupportSupport menu

CompanyCompany menu

Services
Whole Genome SequencingDe novo SequencingAmplicon SequencingShotgun Metagenomic SequencingDirected DNA Methylation Sequencing (DM-Seq)mRNA SequencingSingle Cell Gene ExpressionVisium HD Spatial Gene ExpressionXenium In Situ Spatial TranscriptomeOlink ProteomicsUntargeted Metabolomics
Support
NovoMagic Bioinformatics Analysis ToolCustomer Service SystemFalcon Intelligent Delivery Platform
Company
About UsOur LocationsOur PlatformsNewsCareersContact Us
LinkedInLinkedIn hoverYouTubeYouTube hoverXX hover
Copyright © 2026 Novogene Inc. All rights reserved.For Research Use Only. Not for Clinical Diagnostic Use.
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Directed DNA Methylation Sequencing (DM-Seq)

Comprehensive genome-wide sequencing to identify genetic variation and support studies of human disease, population genetics, and precision medicine.
Request a Quote
(Directed DNA Methylation Sequencing (DM-Seq))
Request a Quote
(Directed DNA Methylation Sequencing (DM-Seq))
OverviewOverview
BenefitsBenefits
ApplicationsApplications
SpecificationsSpecifications
ResourcesResources

DM-seq (Directed DNA Methylation Sequencing) is an advanced DNA methylation solution that addresses core limitations of traditional methods like whole‑genome bisulfite sequencing. By directly converting methylated cytosine (C) information into thymine (T) signals using Watchmaker TAPS+ and Illumina 5-base technology, DM-seq enables simultaneous detection of DNA methylation profiles and genomic variations (SNP/Indel/SV/CNV) from a single library. The enzymatic conversion also reduces input requirements, making it ideal for challenging samples such as cfDNA and FFPE.


This novel approach represents a cost‑effective strategy for multi‑omics analysis, enabling researchers to extract both genetic and epigenetic information from a single DNA library and further supporting a wide range of applications, including disease mechanism exploration, tumor precision medicine, rare disease etiology, agricultural trait improvement, stress resistance breeding, and basic developmental biology research.

Why Choose Novogene for Directed DNA Methylation Sequencing?

High Accuracy and Sensitivity
High Accuracy and Sensitivity

Direct detection mechanism significantly improves alignment accuracy and alignment rate compared to traditional indirect methods.

High Accuracy and Sensitivity
High Accuracy and Sensitivity

Direct detection mechanism significantly improves alignment accuracy and alignment rate compared to traditional indirect methods.

Low Sample Input
Low Sample Input

Requires as low as 10 ng of input for library construction, enabling the detection of precious, degraded, or difficult-to-process sample types such as FFPE tissues and cfDNA.

Low Sample Input
Low Sample Input

Requires as low as 10 ng of input for library construction, enabling the detection of precious, degraded, or difficult-to-process sample types such as FFPE tissues and cfDNA.

Streamlined Workflow with Combined Data Output
Streamlined Workflow with Combined Data Output

DM-seq obtains both methylation and variation data (SNP/InDel/SV/CNV) from a single experiment, reducing overall costs and significantly shortening the project cycle.

Streamlined Workflow with Combined Data Output
Streamlined Workflow with Combined Data Output

DM-seq obtains both methylation and variation data (SNP/InDel/SV/CNV) from a single experiment, reducing overall costs and significantly shortening the project cycle.

Why Choose Novogene for Directed DNA Methylation Sequencing?

High Accuracy and Sensitivity
High Accuracy and Sensitivity

Direct detection mechanism significantly improves alignment accuracy and alignment rate compared to traditional indirect methods.

High Accuracy and Sensitivity
High Accuracy and Sensitivity

Direct detection mechanism significantly improves alignment accuracy and alignment rate compared to traditional indirect methods.

Low Sample Input
Low Sample Input

Requires as low as 10 ng of input for library construction, enabling the detection of precious, degraded, or difficult-to-process sample types such as FFPE tissues and cfDNA.

Low Sample Input
Low Sample Input

Requires as low as 10 ng of input for library construction, enabling the detection of precious, degraded, or difficult-to-process sample types such as FFPE tissues and cfDNA.

Streamlined Workflow with Combined Data Output
Streamlined Workflow with Combined Data Output

DM-seq obtains both methylation and variation data (SNP/InDel/SV/CNV) from a single experiment, reducing overall costs and significantly shortening the project cycle.

Streamlined Workflow with Combined Data Output
Streamlined Workflow with Combined Data Output

DM-seq obtains both methylation and variation data (SNP/InDel/SV/CNV) from a single experiment, reducing overall costs and significantly shortening the project cycle.

Applications of DM-Seq

Unlock comprehensive insights into human genetics for hereditary disease, cancer, and population studies.

Disease research and drug development

Uncover molecular mechanisms driving disease progression

Stratify complex diseases using multi-omics data

Identify novel therapeutic targets and accelerate drug discovery

Disease research and drug development

Uncover molecular mechanisms driving disease progression

Stratify complex diseases using multi-omics data

Identify novel therapeutic targets and accelerate drug discovery

Agriculture and animal breeding

Improve high-yield and high-quality traits in crops and horticultural plants

Enhance stress resistance and breed performance in livestock and poultry

Build resilience and sustainability in agricultural ecosystems

Agriculture and animal breeding

Improve high-yield and high-quality traits in crops and horticultural plants

Enhance stress resistance and breed performance in livestock and poultry

Build resilience and sustainability in agricultural ecosystems

Applications of DM-Seq

Unlock comprehensive insights into human genetics for hereditary disease, cancer, and population studies.

Disease research and drug development

Uncover molecular mechanisms driving disease progression

Stratify complex diseases using multi-omics data

Identify novel therapeutic targets and accelerate drug discovery

Disease research and drug development

Uncover molecular mechanisms driving disease progression

Stratify complex diseases using multi-omics data

Identify novel therapeutic targets and accelerate drug discovery

Agriculture and animal breeding

Improve high-yield and high-quality traits in crops and horticultural plants

Enhance stress resistance and breed performance in livestock and poultry

Build resilience and sustainability in agricultural ecosystems

Agriculture and animal breeding

Improve high-yield and high-quality traits in crops and horticultural plants

Enhance stress resistance and breed performance in livestock and poultry

Build resilience and sustainability in agricultural ecosystems

Specifications

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeAmount
Genomic DNA≥ 20 ng
FFPE DNA≥ 20 ng
cfDNA≥ 20 ng

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeAmount
Genomic DNA≥ 20 ng
FFPE DNA≥ 20 ng
cfDNA≥ 20 ng

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeAmount
Genomic DNA≥ 20 ng
FFPE DNA≥ 20 ng
cfDNA≥ 20 ng

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeAmount
Genomic DNA≥ 20 ng
FFPE DNA≥ 20 ng
cfDNA≥ 20 ng

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Platform TypeIllumina NovaSeq System
Read LengthPaired-end 150 bp
Sequencing Depth≥ 30× coverage for the species with reference genome
Standard Data AnalysisData Quality Control

mCs detection, methylation level calculation

Methylation level and frequency distribution

Differentially Methylated Site (DMS) detection

Differentially Methylated Regions (DMRs), Differentially Methylated Promoter (DMPs) detection and annotation

Function enrichment of DMR-associated genes and DMR-associated genes

Visualization of methylation results

Varitation Analysis (SNP, InDel, SV, CNV)

Project Workflow

The Novogene DM-Seq service is comprised of four steps. Sample preparation is followed by library preparation, sequencing and bioinformatics analysis. To construct a methylation library, enzymatic methylation conversion is performed initially, without sodium bisulfite treatment, enabling direct detection of methylated cytosines. Libraries are then sequenced using Illumina PE150 and the reads are processed with bioinformatics pipelines.


In order to ensure the accuracy and reliability of sequencing data, Novogene audits every experimental step strictly by quality control and ensures high-quality data output fundamentally, from DNA sampling to obtaining the final data report. Obtaining high-quality data is the premise to ensure that bioinformatics analysis is correct, comprehensive and credible.

Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Platform TypeIllumina NovaSeq System
Read LengthPaired-end 150 bp
Sequencing Depth≥ 30× coverage for the species with reference genome
Standard Data AnalysisData Quality Control

mCs detection, methylation level calculation

Methylation level and frequency distribution

Differentially Methylated Site (DMS) detection

Differentially Methylated Regions (DMRs), Differentially Methylated Promoter (DMPs) detection and annotation

Function enrichment of DMR-associated genes and DMR-associated genes

Visualization of methylation results

Varitation Analysis (SNP, InDel, SV, CNV)

Project Workflow

The Novogene DM-Seq service is comprised of four steps. Sample preparation is followed by library preparation, sequencing and bioinformatics analysis. To construct a methylation library, enzymatic methylation conversion is performed initially, without sodium bisulfite treatment, enabling direct detection of methylated cytosines. Libraries are then sequenced using Illumina PE150 and the reads are processed with bioinformatics pipelines.


In order to ensure the accuracy and reliability of sequencing data, Novogene audits every experimental step strictly by quality control and ensures high-quality data output fundamentally, from DNA sampling to obtaining the final data report. Obtaining high-quality data is the premise to ensure that bioinformatics analysis is correct, comprehensive and credible.

Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Platform TypeIllumina NovaSeq System
Read LengthPaired-end 150 bp
Sequencing Depth≥ 30× coverage for the species with reference genome
Standard Data AnalysisData Quality Control

mCs detection, methylation level calculation

Methylation level and frequency distribution

Differentially Methylated Site (DMS) detection

Differentially Methylated Regions (DMRs), Differentially Methylated Promoter (DMPs) detection and annotation

Function enrichment of DMR-associated genes and DMR-associated genes

Visualization of methylation results

Varitation Analysis (SNP, InDel, SV, CNV)

Project Workflow

The Novogene DM-Seq service is comprised of four steps. Sample preparation is followed by library preparation, sequencing and bioinformatics analysis. To construct a methylation library, enzymatic methylation conversion is performed initially, without sodium bisulfite treatment, enabling direct detection of methylated cytosines. Libraries are then sequenced using Illumina PE150 and the reads are processed with bioinformatics pipelines.


In order to ensure the accuracy and reliability of sequencing data, Novogene audits every experimental step strictly by quality control and ensures high-quality data output fundamentally, from DNA sampling to obtaining the final data report. Obtaining high-quality data is the premise to ensure that bioinformatics analysis is correct, comprehensive and credible.

Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Platform TypeIllumina NovaSeq System
Read LengthPaired-end 150 bp
Sequencing Depth≥ 30× coverage for the species with reference genome
Standard Data AnalysisData Quality Control

mCs detection, methylation level calculation

Methylation level and frequency distribution

Differentially Methylated Site (DMS) detection

Differentially Methylated Regions (DMRs), Differentially Methylated Promoter (DMPs) detection and annotation

Function enrichment of DMR-associated genes and DMR-associated genes

Visualization of methylation results

Varitation Analysis (SNP, InDel, SV, CNV)

Project Workflow

The Novogene DM-Seq service is comprised of four steps. Sample preparation is followed by library preparation, sequencing and bioinformatics analysis. To construct a methylation library, enzymatic methylation conversion is performed initially, without sodium bisulfite treatment, enabling direct detection of methylated cytosines. Libraries are then sequenced using Illumina PE150 and the reads are processed with bioinformatics pipelines.


In order to ensure the accuracy and reliability of sequencing data, Novogene audits every experimental step strictly by quality control and ensures high-quality data output fundamentally, from DNA sampling to obtaining the final data report. Obtaining high-quality data is the premise to ensure that bioinformatics analysis is correct, comprehensive and credible.

Project Workflow

Specifications

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeAmount
Genomic DNA≥ 20 ng
FFPE DNA≥ 20 ng
cfDNA≥ 20 ng

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeAmount
Genomic DNA≥ 20 ng
FFPE DNA≥ 20 ng
cfDNA≥ 20 ng

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeAmount
Genomic DNA≥ 20 ng
FFPE DNA≥ 20 ng
cfDNA≥ 20 ng

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeAmount
Genomic DNA≥ 20 ng
FFPE DNA≥ 20 ng
cfDNA≥ 20 ng

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Platform TypeIllumina NovaSeq System
Read LengthPaired-end 150 bp
Sequencing Depth≥ 30× coverage for the species with reference genome
Standard Data AnalysisData Quality Control

mCs detection, methylation level calculation

Methylation level and frequency distribution

Differentially Methylated Site (DMS) detection

Differentially Methylated Regions (DMRs), Differentially Methylated Promoter (DMPs) detection and annotation

Function enrichment of DMR-associated genes and DMR-associated genes

Visualization of methylation results

Varitation Analysis (SNP, InDel, SV, CNV)

Project Workflow

The Novogene DM-Seq service is comprised of four steps. Sample preparation is followed by library preparation, sequencing and bioinformatics analysis. To construct a methylation library, enzymatic methylation conversion is performed initially, without sodium bisulfite treatment, enabling direct detection of methylated cytosines. Libraries are then sequenced using Illumina PE150 and the reads are processed with bioinformatics pipelines.


In order to ensure the accuracy and reliability of sequencing data, Novogene audits every experimental step strictly by quality control and ensures high-quality data output fundamentally, from DNA sampling to obtaining the final data report. Obtaining high-quality data is the premise to ensure that bioinformatics analysis is correct, comprehensive and credible.

Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Platform TypeIllumina NovaSeq System
Read LengthPaired-end 150 bp
Sequencing Depth≥ 30× coverage for the species with reference genome
Standard Data AnalysisData Quality Control

mCs detection, methylation level calculation

Methylation level and frequency distribution

Differentially Methylated Site (DMS) detection

Differentially Methylated Regions (DMRs), Differentially Methylated Promoter (DMPs) detection and annotation

Function enrichment of DMR-associated genes and DMR-associated genes

Visualization of methylation results

Varitation Analysis (SNP, InDel, SV, CNV)

Project Workflow

The Novogene DM-Seq service is comprised of four steps. Sample preparation is followed by library preparation, sequencing and bioinformatics analysis. To construct a methylation library, enzymatic methylation conversion is performed initially, without sodium bisulfite treatment, enabling direct detection of methylated cytosines. Libraries are then sequenced using Illumina PE150 and the reads are processed with bioinformatics pipelines.


In order to ensure the accuracy and reliability of sequencing data, Novogene audits every experimental step strictly by quality control and ensures high-quality data output fundamentally, from DNA sampling to obtaining the final data report. Obtaining high-quality data is the premise to ensure that bioinformatics analysis is correct, comprehensive and credible.

Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Platform TypeIllumina NovaSeq System
Read LengthPaired-end 150 bp
Sequencing Depth≥ 30× coverage for the species with reference genome
Standard Data AnalysisData Quality Control

mCs detection, methylation level calculation

Methylation level and frequency distribution

Differentially Methylated Site (DMS) detection

Differentially Methylated Regions (DMRs), Differentially Methylated Promoter (DMPs) detection and annotation

Function enrichment of DMR-associated genes and DMR-associated genes

Visualization of methylation results

Varitation Analysis (SNP, InDel, SV, CNV)

Project Workflow

The Novogene DM-Seq service is comprised of four steps. Sample preparation is followed by library preparation, sequencing and bioinformatics analysis. To construct a methylation library, enzymatic methylation conversion is performed initially, without sodium bisulfite treatment, enabling direct detection of methylated cytosines. Libraries are then sequenced using Illumina PE150 and the reads are processed with bioinformatics pipelines.


In order to ensure the accuracy and reliability of sequencing data, Novogene audits every experimental step strictly by quality control and ensures high-quality data output fundamentally, from DNA sampling to obtaining the final data report. Obtaining high-quality data is the premise to ensure that bioinformatics analysis is correct, comprehensive and credible.

Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Platform TypeIllumina NovaSeq System
Read LengthPaired-end 150 bp
Sequencing Depth≥ 30× coverage for the species with reference genome
Standard Data AnalysisData Quality Control

mCs detection, methylation level calculation

Methylation level and frequency distribution

Differentially Methylated Site (DMS) detection

Differentially Methylated Regions (DMRs), Differentially Methylated Promoter (DMPs) detection and annotation

Function enrichment of DMR-associated genes and DMR-associated genes

Visualization of methylation results

Varitation Analysis (SNP, InDel, SV, CNV)

Project Workflow

The Novogene DM-Seq service is comprised of four steps. Sample preparation is followed by library preparation, sequencing and bioinformatics analysis. To construct a methylation library, enzymatic methylation conversion is performed initially, without sodium bisulfite treatment, enabling direct detection of methylated cytosines. Libraries are then sequenced using Illumina PE150 and the reads are processed with bioinformatics pipelines.


In order to ensure the accuracy and reliability of sequencing data, Novogene audits every experimental step strictly by quality control and ensures high-quality data output fundamentally, from DNA sampling to obtaining the final data report. Obtaining high-quality data is the premise to ensure that bioinformatics analysis is correct, comprehensive and credible.

Project Workflow

Demo Results

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Distribution of Genome Coverage
Image
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1/1
Methylation Level Distribution on Whole Genome
Image
Image
1/1
Heatmap Analysis for Methylation Levels of Gene Functional Region
Image
Image
1/1
Methylation Level Distribution at Functional Genetic Elements
Image
Image
1/1
Circos Plot for DMR Condition in Three Contexts (CG, CHG, CHH)
Image
Image
1/1
Diagram of GO Enrichment
Image
Image
1/1
Distribution of Genome Coverage
Image
Image
1/1
Methylation Level Distribution on Whole Genome
Image
Image
1/1
Heatmap Analysis for Methylation Levels of Gene Functional Region
Image
Image
1/1
Methylation Level Distribution at Functional Genetic Elements
Image
Image
1/1
Circos Plot for DMR Condition in Three Contexts (CG, CHG, CHH)
Image
Image
1/1
Diagram of GO Enrichment

Demo Results

Image
Image
1/1
Distribution of Genome Coverage
Image
Image
1/1
Methylation Level Distribution on Whole Genome
Image
Image
1/1
Heatmap Analysis for Methylation Levels of Gene Functional Region
Image
Image
1/1
Methylation Level Distribution at Functional Genetic Elements
Image
Image
1/1
Circos Plot for DMR Condition in Three Contexts (CG, CHG, CHH)
Image
Image
1/1
Diagram of GO Enrichment
Image
Image
1/1
Distribution of Genome Coverage
Image
Image
1/1
Methylation Level Distribution on Whole Genome
Image
Image
1/1
Heatmap Analysis for Methylation Levels of Gene Functional Region
Image
Image
1/1
Methylation Level Distribution at Functional Genetic Elements
Image
Image
1/1
Circos Plot for DMR Condition in Three Contexts (CG, CHG, CHH)
Image
Image
1/1
Diagram of GO Enrichment

More Services

RNA Immunoprecipitation Sequencing (RIP-seq)
(RNA Immunoprecipitation Sequencing (RIP-seq))
RNA Immunoprecipitation Sequencing (RIP-seq)
(RNA Immunoprecipitation Sequencing (RIP-seq))
Whole Genome Bisulfite Sequencing (WGBS)
(Whole Genome Bisulfite Sequencing (WGBS))
Whole Genome Bisulfite Sequencing (WGBS)
(Whole Genome Bisulfite Sequencing (WGBS))
Reduced Representation Bisulfite Sequencing (RRBS)
(Reduced Representation Bisulfite Sequencing (RRBS))
Reduced Representation Bisulfite Sequencing (RRBS)
(Reduced Representation Bisulfite Sequencing (RRBS))
Chromatin Immunoprecipitation Sequencing (ChIP-seq)
(Chromatin Immunoprecipitation Sequencing (ChIP-seq))
Chromatin Immunoprecipitation Sequencing (ChIP-seq)
(Chromatin Immunoprecipitation Sequencing (ChIP-seq))

More Services

RNA Immunoprecipitation Sequencing (RIP-seq)
(RNA Immunoprecipitation Sequencing (RIP-seq))
RNA Immunoprecipitation Sequencing (RIP-seq)
(RNA Immunoprecipitation Sequencing (RIP-seq))
Whole Genome Bisulfite Sequencing (WGBS)
(Whole Genome Bisulfite Sequencing (WGBS))
Whole Genome Bisulfite Sequencing (WGBS)
(Whole Genome Bisulfite Sequencing (WGBS))
Reduced Representation Bisulfite Sequencing (RRBS)
(Reduced Representation Bisulfite Sequencing (RRBS))
Reduced Representation Bisulfite Sequencing (RRBS)
(Reduced Representation Bisulfite Sequencing (RRBS))
Chromatin Immunoprecipitation Sequencing (ChIP-seq)
(Chromatin Immunoprecipitation Sequencing (ChIP-seq))
Chromatin Immunoprecipitation Sequencing (ChIP-seq)
(Chromatin Immunoprecipitation Sequencing (ChIP-seq))
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Directed DNA Methylation Sequencing (DM-Seq)

Comprehensive genome-wide sequencing to identify genetic variation and support studies of human disease, population genetics, and precision medicine.
Request a Quote
(Directed DNA Methylation Sequencing (DM-Seq))
Request a Quote
(Directed DNA Methylation Sequencing (DM-Seq))
OverviewOverview
BenefitsBenefits
ApplicationsApplications
SpecificationsSpecifications
ResourcesResources

DM-seq (Directed DNA Methylation Sequencing) is an advanced DNA methylation solution that addresses core limitations of traditional methods like whole‑genome bisulfite sequencing. By directly converting methylated cytosine (C) information into thymine (T) signals using Watchmaker TAPS+ and Illumina 5-base technology, DM-seq enables simultaneous detection of DNA methylation profiles and genomic variations (SNP/Indel/SV/CNV) from a single library. The enzymatic conversion also reduces input requirements, making it ideal for challenging samples such as cfDNA and FFPE.


This novel approach represents a cost‑effective strategy for multi‑omics analysis, enabling researchers to extract both genetic and epigenetic information from a single DNA library and further supporting a wide range of applications, including disease mechanism exploration, tumor precision medicine, rare disease etiology, agricultural trait improvement, stress resistance breeding, and basic developmental biology research.

Why Choose Novogene for Directed DNA Methylation Sequencing?

High Accuracy and Sensitivity
High Accuracy and Sensitivity

Direct detection mechanism significantly improves alignment accuracy and alignment rate compared to traditional indirect methods.

High Accuracy and Sensitivity
High Accuracy and Sensitivity

Direct detection mechanism significantly improves alignment accuracy and alignment rate compared to traditional indirect methods.

Low Sample Input
Low Sample Input

Requires as low as 10 ng of input for library construction, enabling the detection of precious, degraded, or difficult-to-process sample types such as FFPE tissues and cfDNA.

Low Sample Input
Low Sample Input

Requires as low as 10 ng of input for library construction, enabling the detection of precious, degraded, or difficult-to-process sample types such as FFPE tissues and cfDNA.

Streamlined Workflow with Combined Data Output
Streamlined Workflow with Combined Data Output

DM-seq obtains both methylation and variation data (SNP/InDel/SV/CNV) from a single experiment, reducing overall costs and significantly shortening the project cycle.

Streamlined Workflow with Combined Data Output
Streamlined Workflow with Combined Data Output

DM-seq obtains both methylation and variation data (SNP/InDel/SV/CNV) from a single experiment, reducing overall costs and significantly shortening the project cycle.

Why Choose Novogene for Directed DNA Methylation Sequencing?

High Accuracy and Sensitivity
High Accuracy and Sensitivity

Direct detection mechanism significantly improves alignment accuracy and alignment rate compared to traditional indirect methods.

High Accuracy and Sensitivity
High Accuracy and Sensitivity

Direct detection mechanism significantly improves alignment accuracy and alignment rate compared to traditional indirect methods.

Low Sample Input
Low Sample Input

Requires as low as 10 ng of input for library construction, enabling the detection of precious, degraded, or difficult-to-process sample types such as FFPE tissues and cfDNA.

Low Sample Input
Low Sample Input

Requires as low as 10 ng of input for library construction, enabling the detection of precious, degraded, or difficult-to-process sample types such as FFPE tissues and cfDNA.

Streamlined Workflow with Combined Data Output
Streamlined Workflow with Combined Data Output

DM-seq obtains both methylation and variation data (SNP/InDel/SV/CNV) from a single experiment, reducing overall costs and significantly shortening the project cycle.

Streamlined Workflow with Combined Data Output
Streamlined Workflow with Combined Data Output

DM-seq obtains both methylation and variation data (SNP/InDel/SV/CNV) from a single experiment, reducing overall costs and significantly shortening the project cycle.

Applications of DM-Seq

Unlock comprehensive insights into human genetics for hereditary disease, cancer, and population studies.

Disease research and drug development

Uncover molecular mechanisms driving disease progression

Stratify complex diseases using multi-omics data

Identify novel therapeutic targets and accelerate drug discovery

Disease research and drug development

Uncover molecular mechanisms driving disease progression

Stratify complex diseases using multi-omics data

Identify novel therapeutic targets and accelerate drug discovery

Agriculture and animal breeding

Improve high-yield and high-quality traits in crops and horticultural plants

Enhance stress resistance and breed performance in livestock and poultry

Build resilience and sustainability in agricultural ecosystems

Agriculture and animal breeding

Improve high-yield and high-quality traits in crops and horticultural plants

Enhance stress resistance and breed performance in livestock and poultry

Build resilience and sustainability in agricultural ecosystems

Applications of DM-Seq

Unlock comprehensive insights into human genetics for hereditary disease, cancer, and population studies.

Disease research and drug development

Uncover molecular mechanisms driving disease progression

Stratify complex diseases using multi-omics data

Identify novel therapeutic targets and accelerate drug discovery

Disease research and drug development

Uncover molecular mechanisms driving disease progression

Stratify complex diseases using multi-omics data

Identify novel therapeutic targets and accelerate drug discovery

Agriculture and animal breeding

Improve high-yield and high-quality traits in crops and horticultural plants

Enhance stress resistance and breed performance in livestock and poultry

Build resilience and sustainability in agricultural ecosystems

Agriculture and animal breeding

Improve high-yield and high-quality traits in crops and horticultural plants

Enhance stress resistance and breed performance in livestock and poultry

Build resilience and sustainability in agricultural ecosystems

Specifications

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeAmount
Genomic DNA≥ 20 ng
FFPE DNA≥ 20 ng
cfDNA≥ 20 ng

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeAmount
Genomic DNA≥ 20 ng
FFPE DNA≥ 20 ng
cfDNA≥ 20 ng

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeAmount
Genomic DNA≥ 20 ng
FFPE DNA≥ 20 ng
cfDNA≥ 20 ng

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeAmount
Genomic DNA≥ 20 ng
FFPE DNA≥ 20 ng
cfDNA≥ 20 ng

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Platform TypeIllumina NovaSeq System
Read LengthPaired-end 150 bp
Sequencing Depth≥ 30× coverage for the species with reference genome
Standard Data AnalysisData Quality Control

mCs detection, methylation level calculation

Methylation level and frequency distribution

Differentially Methylated Site (DMS) detection

Differentially Methylated Regions (DMRs), Differentially Methylated Promoter (DMPs) detection and annotation

Function enrichment of DMR-associated genes and DMR-associated genes

Visualization of methylation results

Varitation Analysis (SNP, InDel, SV, CNV)

Project Workflow

The Novogene DM-Seq service is comprised of four steps. Sample preparation is followed by library preparation, sequencing and bioinformatics analysis. To construct a methylation library, enzymatic methylation conversion is performed initially, without sodium bisulfite treatment, enabling direct detection of methylated cytosines. Libraries are then sequenced using Illumina PE150 and the reads are processed with bioinformatics pipelines.


In order to ensure the accuracy and reliability of sequencing data, Novogene audits every experimental step strictly by quality control and ensures high-quality data output fundamentally, from DNA sampling to obtaining the final data report. Obtaining high-quality data is the premise to ensure that bioinformatics analysis is correct, comprehensive and credible.

Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Platform TypeIllumina NovaSeq System
Read LengthPaired-end 150 bp
Sequencing Depth≥ 30× coverage for the species with reference genome
Standard Data AnalysisData Quality Control

mCs detection, methylation level calculation

Methylation level and frequency distribution

Differentially Methylated Site (DMS) detection

Differentially Methylated Regions (DMRs), Differentially Methylated Promoter (DMPs) detection and annotation

Function enrichment of DMR-associated genes and DMR-associated genes

Visualization of methylation results

Varitation Analysis (SNP, InDel, SV, CNV)

Project Workflow

The Novogene DM-Seq service is comprised of four steps. Sample preparation is followed by library preparation, sequencing and bioinformatics analysis. To construct a methylation library, enzymatic methylation conversion is performed initially, without sodium bisulfite treatment, enabling direct detection of methylated cytosines. Libraries are then sequenced using Illumina PE150 and the reads are processed with bioinformatics pipelines.


In order to ensure the accuracy and reliability of sequencing data, Novogene audits every experimental step strictly by quality control and ensures high-quality data output fundamentally, from DNA sampling to obtaining the final data report. Obtaining high-quality data is the premise to ensure that bioinformatics analysis is correct, comprehensive and credible.

Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Platform TypeIllumina NovaSeq System
Read LengthPaired-end 150 bp
Sequencing Depth≥ 30× coverage for the species with reference genome
Standard Data AnalysisData Quality Control

mCs detection, methylation level calculation

Methylation level and frequency distribution

Differentially Methylated Site (DMS) detection

Differentially Methylated Regions (DMRs), Differentially Methylated Promoter (DMPs) detection and annotation

Function enrichment of DMR-associated genes and DMR-associated genes

Visualization of methylation results

Varitation Analysis (SNP, InDel, SV, CNV)

Project Workflow

The Novogene DM-Seq service is comprised of four steps. Sample preparation is followed by library preparation, sequencing and bioinformatics analysis. To construct a methylation library, enzymatic methylation conversion is performed initially, without sodium bisulfite treatment, enabling direct detection of methylated cytosines. Libraries are then sequenced using Illumina PE150 and the reads are processed with bioinformatics pipelines.


In order to ensure the accuracy and reliability of sequencing data, Novogene audits every experimental step strictly by quality control and ensures high-quality data output fundamentally, from DNA sampling to obtaining the final data report. Obtaining high-quality data is the premise to ensure that bioinformatics analysis is correct, comprehensive and credible.

Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Platform TypeIllumina NovaSeq System
Read LengthPaired-end 150 bp
Sequencing Depth≥ 30× coverage for the species with reference genome
Standard Data AnalysisData Quality Control

mCs detection, methylation level calculation

Methylation level and frequency distribution

Differentially Methylated Site (DMS) detection

Differentially Methylated Regions (DMRs), Differentially Methylated Promoter (DMPs) detection and annotation

Function enrichment of DMR-associated genes and DMR-associated genes

Visualization of methylation results

Varitation Analysis (SNP, InDel, SV, CNV)

Project Workflow

The Novogene DM-Seq service is comprised of four steps. Sample preparation is followed by library preparation, sequencing and bioinformatics analysis. To construct a methylation library, enzymatic methylation conversion is performed initially, without sodium bisulfite treatment, enabling direct detection of methylated cytosines. Libraries are then sequenced using Illumina PE150 and the reads are processed with bioinformatics pipelines.


In order to ensure the accuracy and reliability of sequencing data, Novogene audits every experimental step strictly by quality control and ensures high-quality data output fundamentally, from DNA sampling to obtaining the final data report. Obtaining high-quality data is the premise to ensure that bioinformatics analysis is correct, comprehensive and credible.

Project Workflow

Specifications

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeAmount
Genomic DNA≥ 20 ng
FFPE DNA≥ 20 ng
cfDNA≥ 20 ng

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeAmount
Genomic DNA≥ 20 ng
FFPE DNA≥ 20 ng
cfDNA≥ 20 ng

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeAmount
Genomic DNA≥ 20 ng
FFPE DNA≥ 20 ng
cfDNA≥ 20 ng

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeAmount
Genomic DNA≥ 20 ng
FFPE DNA≥ 20 ng
cfDNA≥ 20 ng

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Platform TypeIllumina NovaSeq System
Read LengthPaired-end 150 bp
Sequencing Depth≥ 30× coverage for the species with reference genome
Standard Data AnalysisData Quality Control

mCs detection, methylation level calculation

Methylation level and frequency distribution

Differentially Methylated Site (DMS) detection

Differentially Methylated Regions (DMRs), Differentially Methylated Promoter (DMPs) detection and annotation

Function enrichment of DMR-associated genes and DMR-associated genes

Visualization of methylation results

Varitation Analysis (SNP, InDel, SV, CNV)

Project Workflow

The Novogene DM-Seq service is comprised of four steps. Sample preparation is followed by library preparation, sequencing and bioinformatics analysis. To construct a methylation library, enzymatic methylation conversion is performed initially, without sodium bisulfite treatment, enabling direct detection of methylated cytosines. Libraries are then sequenced using Illumina PE150 and the reads are processed with bioinformatics pipelines.


In order to ensure the accuracy and reliability of sequencing data, Novogene audits every experimental step strictly by quality control and ensures high-quality data output fundamentally, from DNA sampling to obtaining the final data report. Obtaining high-quality data is the premise to ensure that bioinformatics analysis is correct, comprehensive and credible.

Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Platform TypeIllumina NovaSeq System
Read LengthPaired-end 150 bp
Sequencing Depth≥ 30× coverage for the species with reference genome
Standard Data AnalysisData Quality Control

mCs detection, methylation level calculation

Methylation level and frequency distribution

Differentially Methylated Site (DMS) detection

Differentially Methylated Regions (DMRs), Differentially Methylated Promoter (DMPs) detection and annotation

Function enrichment of DMR-associated genes and DMR-associated genes

Visualization of methylation results

Varitation Analysis (SNP, InDel, SV, CNV)

Project Workflow

The Novogene DM-Seq service is comprised of four steps. Sample preparation is followed by library preparation, sequencing and bioinformatics analysis. To construct a methylation library, enzymatic methylation conversion is performed initially, without sodium bisulfite treatment, enabling direct detection of methylated cytosines. Libraries are then sequenced using Illumina PE150 and the reads are processed with bioinformatics pipelines.


In order to ensure the accuracy and reliability of sequencing data, Novogene audits every experimental step strictly by quality control and ensures high-quality data output fundamentally, from DNA sampling to obtaining the final data report. Obtaining high-quality data is the premise to ensure that bioinformatics analysis is correct, comprehensive and credible.

Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Platform TypeIllumina NovaSeq System
Read LengthPaired-end 150 bp
Sequencing Depth≥ 30× coverage for the species with reference genome
Standard Data AnalysisData Quality Control

mCs detection, methylation level calculation

Methylation level and frequency distribution

Differentially Methylated Site (DMS) detection

Differentially Methylated Regions (DMRs), Differentially Methylated Promoter (DMPs) detection and annotation

Function enrichment of DMR-associated genes and DMR-associated genes

Visualization of methylation results

Varitation Analysis (SNP, InDel, SV, CNV)

Project Workflow

The Novogene DM-Seq service is comprised of four steps. Sample preparation is followed by library preparation, sequencing and bioinformatics analysis. To construct a methylation library, enzymatic methylation conversion is performed initially, without sodium bisulfite treatment, enabling direct detection of methylated cytosines. Libraries are then sequenced using Illumina PE150 and the reads are processed with bioinformatics pipelines.


In order to ensure the accuracy and reliability of sequencing data, Novogene audits every experimental step strictly by quality control and ensures high-quality data output fundamentally, from DNA sampling to obtaining the final data report. Obtaining high-quality data is the premise to ensure that bioinformatics analysis is correct, comprehensive and credible.

Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Platform TypeIllumina NovaSeq System
Read LengthPaired-end 150 bp
Sequencing Depth≥ 30× coverage for the species with reference genome
Standard Data AnalysisData Quality Control

mCs detection, methylation level calculation

Methylation level and frequency distribution

Differentially Methylated Site (DMS) detection

Differentially Methylated Regions (DMRs), Differentially Methylated Promoter (DMPs) detection and annotation

Function enrichment of DMR-associated genes and DMR-associated genes

Visualization of methylation results

Varitation Analysis (SNP, InDel, SV, CNV)

Project Workflow

The Novogene DM-Seq service is comprised of four steps. Sample preparation is followed by library preparation, sequencing and bioinformatics analysis. To construct a methylation library, enzymatic methylation conversion is performed initially, without sodium bisulfite treatment, enabling direct detection of methylated cytosines. Libraries are then sequenced using Illumina PE150 and the reads are processed with bioinformatics pipelines.


In order to ensure the accuracy and reliability of sequencing data, Novogene audits every experimental step strictly by quality control and ensures high-quality data output fundamentally, from DNA sampling to obtaining the final data report. Obtaining high-quality data is the premise to ensure that bioinformatics analysis is correct, comprehensive and credible.

Project Workflow

Demo Results

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Distribution of Genome Coverage
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Methylation Level Distribution on Whole Genome
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Heatmap Analysis for Methylation Levels of Gene Functional Region
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Methylation Level Distribution at Functional Genetic Elements
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Circos Plot for DMR Condition in Three Contexts (CG, CHG, CHH)
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Diagram of GO Enrichment
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Distribution of Genome Coverage
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Methylation Level Distribution on Whole Genome
Image
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Heatmap Analysis for Methylation Levels of Gene Functional Region
Image
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Methylation Level Distribution at Functional Genetic Elements
Image
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Circos Plot for DMR Condition in Three Contexts (CG, CHG, CHH)
Image
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Diagram of GO Enrichment

Demo Results

Image
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Distribution of Genome Coverage
Image
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1/1
Methylation Level Distribution on Whole Genome
Image
Image
1/1
Heatmap Analysis for Methylation Levels of Gene Functional Region
Image
Image
1/1
Methylation Level Distribution at Functional Genetic Elements
Image
Image
1/1
Circos Plot for DMR Condition in Three Contexts (CG, CHG, CHH)
Image
Image
1/1
Diagram of GO Enrichment
Image
Image
1/1
Distribution of Genome Coverage
Image
Image
1/1
Methylation Level Distribution on Whole Genome
Image
Image
1/1
Heatmap Analysis for Methylation Levels of Gene Functional Region
Image
Image
1/1
Methylation Level Distribution at Functional Genetic Elements
Image
Image
1/1
Circos Plot for DMR Condition in Three Contexts (CG, CHG, CHH)
Image
Image
1/1
Diagram of GO Enrichment

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RNA Immunoprecipitation Sequencing (RIP-seq)
(RNA Immunoprecipitation Sequencing (RIP-seq))
RNA Immunoprecipitation Sequencing (RIP-seq)
(RNA Immunoprecipitation Sequencing (RIP-seq))
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(Whole Genome Bisulfite Sequencing (WGBS))
Whole Genome Bisulfite Sequencing (WGBS)
(Whole Genome Bisulfite Sequencing (WGBS))
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Reduced Representation Bisulfite Sequencing (RRBS)
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Chromatin Immunoprecipitation Sequencing (ChIP-seq)
(Chromatin Immunoprecipitation Sequencing (ChIP-seq))
Chromatin Immunoprecipitation Sequencing (ChIP-seq)
(Chromatin Immunoprecipitation Sequencing (ChIP-seq))
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