# Comparative analysis of four sequencing platforms for methylation sequencing

**Authors:** Jinxia Guan, Chuanchun Yang, Hongjun Gao, Shuanping Liu, Min Zheng, Yongjun Li, Baochen Du, Changling Zhang, Yuanyuan Guo, Qi Wang, Luyang Zhao, XiaoLiang Han

PMC · DOI: 10.1186/s13104-026-07690-0 · 2026-02-16

## TL;DR

This study compares four sequencing platforms for methylation data to help researchers choose the best tools for combining datasets.

## Contribution

The study provides a direct comparison of methylation sequencing performance across four platforms using plasma cfDNA samples.

## Key findings

- Three platforms show comparable methylation data performance.
- The MGI platform shows higher methylation levels in target regions.
- Consistent assessment is crucial when combining data from different platforms.

## Abstract

This study conducts a comprehensive assessment of four sequencing platforms: GenoLab M (Genemind), NovaSeq X (Illumina), T7 (MGI) and Salus Pro (Salus), focusing on different performance metrics related to methylation data. By analyzing data from plasma cfDNA samples, we assessed key metrics including sequencing quality, CpG coverage, data efficiency, and methylation level consistency. These findings aim to provide valuable insights into the consistency of sequencing platforms for researchers and laboratories when integrating multiple methylation datasets for analysis.

Three sequencing platforms demonstrate comparable performance on methylation data.The MGI platform exhibits a higher overall methylation level in the target region relative to the other three platforms.Ensuring consistent assessment across different platforms is essential when combining datasets.

Three sequencing platforms demonstrate comparable performance on methylation data.

The MGI platform exhibits a higher overall methylation level in the target region relative to the other three platforms.

Ensuring consistent assessment across different platforms is essential when combining datasets.

## Full-text entities

- **Diseases:** Cancer (MESH:D009369), XLH (MESH:D053098), DMCs (MESH:D012734)
- **Chemicals:** Bisulfite (MESH:C042345), CY (MESH:D003545), uracils (MESH:D014498), DNB (-)

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13015060/full.md

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Source: https://tomesphere.com/paper/PMC13015060