Multiomics
Bulk
Whole Genome Methylation Sequencing
DNA methylation is a type of heritable epigenetic modification which regulates gene expression without altering the DNA sequence. DNA methylation landscapes have been known to be associated with development, ageing and complex diseases including various cancers and neurological disorders.
To investigate DNA methylation patterns, researcher may adopt a whole genome approach or a targeted approach. Whole Genome Methylation Sequencing (WGMS) offers the ability to interrogate genome-wide DNA methylation patterns at single base resolution. Meanwhile, targeted methylation sequencing allows for higher sequencing depth and coverage of enriched genomic regions of interest.
Mirxes Genomics provides both WGMS and targeted methylation sequencing as end-to-end services, enabling high-throughput methylation analysis and robust bioinformatics support for analysis of large datasets.
Enzymatic Methyl Sequencing
Minimize DNA damage and ensure uniform GC coverage
Deep Sequencing Available
≥ 100x coverage available
High Quality Data
Q30 score of >80% for PE150 and PE100
Expert Bioinformatics Support
Support for large datasets, with guaranteed data security
Enzymatic Conversion
Library preparation
Sequencing
Bioinformatics analysis
| Suggested Sequencing Depths | Sequencing Platform | Turnaround Time |
|---|---|---|
|
Basic Analysis 30x |
DNBSEQ-T7 or DNBSEQ-T10 |
2-4 weeks for T7 3-6 weeks for T10 from successful sample QC to data delivery |
|
Deep Analysis ≥100x |
| Service | Sample type | Sample Source | Optimum Input Amount | Volume | Concentration | Purity and Quality |
|---|---|---|---|---|---|---|
| hWGMS | gDNA | Fresh frozen tissue, Cell line, Saliva, Blood | ≥ 1μg | ≥ 20μl | ≥ 20ng/μl | OD260/280 = 1.8 - 2.0 OD 260/230 ≥ 1.7 DIN ≥ 7 |
Please note that these requirements serve only as a guide. Please contact us for further assessment if your samples do not meet the requested amounts.
- Data Quality Control: Filtering reads with adapter or low-quality sequence data
- Alignment to reference genome using BWA
- Summary statistics of sequencing depth and coverage
- Methylation extraction report
- Methylation density
- Distribution analysis
- Clustering analysis
- Differentially methylated regions analysis
- Many other options upon request