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Single-cell Genome-wide Methylation

Single-cell Genome-wide Methylation Online Inquiry

CD Genomics provides single-cell genome-wide methylation sequencing data analysis service. We use bioinformatics to analyze single-cell genome-wide methylation sequencing data to help you understand epigenetic labels more specifically at the single-cell level. Our unique data analysis skills and advanced software can meet customers' personalized laboratory data analysis needs and provide the most easy-to-interpret data analysis reports.


DNA methylation is the process of selectively adding methyl groups to cytosine to form 5-cytosine under the action of DNA methyltransferase. When first discovered, it was defined as the fifth base, a very critical epigenetic label. During normal cell development, DNA methylation, as an important epigenetic marker, is a chemical or protein tag that exists on the DNA sequence. This kind of tag does not change the existing DNA sequence, always records the course of cell changes, participates in the decision to open or close the biological control process, and controls the fate of the cell.

At present, single cell whole genome methylation sequencing has become a research hotspot in life science, and scBS-seq is an accurate and reproducible method for genome-wide methylation analysis. The analysis of single-cell genome wide methylation sequencing data by bioinformatics is of great significance for the discovery of epigenetic information of highly heterogeneous cells. It provides a theoretical basis for revealing embryonic development, cell heterogeneity, early detection of cancer and evaluation of prognostic effects.

ScBS-seq is an accurate and reproducible method for genome-wide methylation analysis.Fig 1. ScBS-seq is an accurate and reproducible method for genome-wide methylation analysis. (Smallwood, Sébastien A, et al.. 2014)

Application Fields

Cancer research

Embryo development research

Cellular heterogeneity studies

Preimplantation genetic diagnosis

Our Advantages

Standardized analysis process.

Strict data quality control.

Reliable analysis results.

Rich experience in single cell sequencing data analysis.

CD Genomics Data Analysis Pipeline

CD Genomics single-cell genome-wide methylation sequencing data analysis pipeline - CD Genomics.

Bioinformatics Analysis Content

CD Genomics can process single-cell genome-wide methylation sequencing data generated by next-generation sequencing or third-generation sequencing, and can handle data of different depths or sequencing strategies. We will adopt different bioinformatics analysis strategies for different types of raw data.

Data preprocessing Sequencing data statistics
Remove adapter sequence and low-quality sequence
Statistical data output
Assess the quality of sequencing
Map to reference genome Statistical comparison rate
duplication rate
Insert size distribution
Calculate the average sequencing depth
Methylation information calculationcomponent analysis Statistics BS conversion rate
C-site depth-coverageFungal gene prediction
Methylation level distribution Distribution of the overall average methylation rate across the genome of each sample
Distribution and graphical display of genome-wide methylation levels
Trends in the distribution of methylation status
Methylated / Unmethylated analysis Statistics of the number of sites and their number distribution on each gene element
Regional calculation
Analysis of methylation status of CGI Number distribution of methylated, non-methylated, intermediate methylated CGI
Distribution of CGI average methylation rate

For single-cell genome-wide methylation sequencing data analysis, If you have different samples, we provide cluster analysis, homogeneity and heterogeneity analysis between samples. In addition, if you have other analysis needs, please communicate with our technical support, we will formulate the most suitable analysis strategy according to your needs. For analysis content, price, cycle, if you have any questions, please click online inquiry.

How It Works

CD Genomics is a professional bioinformatics service provider with years of experience in NGS and long read sequencing (PacBio SMRT and Oxford Nanopore platforms) data analysis, integrated analysis services, database construction and other bioinformatics solutions.

How It Works

CD Genomics has successfully conducted single-cell genome-wide methylation sequencing data analysis on a variety of species. Experienced teams of scientists, researchers, and technicians, we provide fast turnaround, high-quality data reports at competitive prices for worldwide customers. Customers can contact our employees directly and we will respond promptly. If you are interested in our services, please contact us for more detailed information.


  1. Smallwood, Sébastien A, et al. Single-Cell Genome-Wide Bisulfite Sequencing for Assessing Epigenetic Heterogeneity[J]. Nature Methods, 2014, 11(8):817.
* For Research Use Only. Not for use in diagnostic procedures.
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