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The progress on the estimation of DNA methylation level and the detection of abnormal methylation

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摘要With the development of experimental profiling approach for both pooled and single cells, the research on computational methods for methylome analysis is also a hot field for the understanding of epigenomic code. The computational estimation of DNA methylation levels, especially, the expanding methods for methylome data with lower coverage was intensively analyzed. With the broader range of DNA methylation landscapes both in coverage and sample size, it provides better opportunity for the identification of the potential biomarkers.

作者 Shicai Fan ^[1] Likun Wang ^[2] Liang Liang ^[3] Xiaohong Cao ^[4] Jianxiong Tang ^[1] Qi Tian ^[1] 学术成果认领

作者单位 Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen 518110, China;School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China ^[1] Institute of Systems Biomedicine, Beijing Key Laboratory of Tumor Systems Biology, Department of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China ^[2] Cancer Center, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China ^[3] Department of Geriatric Endocrinology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China ^[4]

关键词 DNA methylation genome-wide profiling computational estimation single-cell methylome differential methylation detection DNA methylation genome-wide profiling computational estimation single-cell methylome differential methylation detection

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REVIEW

DOI 10.15302/J-QB-022-0289

发布时间 2024-07-26（万方平台首次上网日期，不代表论文的发表时间）

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