HeteroMeth Edit

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Basic information
Short name HeteroMeth
Full name HeteroMeth
Description HeteroMeth is a database of cell-to-cell heretogeneity in DNA methylation based on BS-seq data.a database for searching, browsing, visualizing, and downloading the heterogeneity in DNA methylation for a total of 141 samples in humans, mice, Arabidopsis, and rice.
URL http://qianlab.genetics.ac.cn/HeteroMeth/
Year founded 2018-3
Last update & version 2018-8
Availability Free to academic users only
Contact information
University/Institution hosted Institute of Genetics and Developmental Biology, Chinese Academy of Sciences
Address
City Beijing
Province/State Beijing
Country/Region China
Contact name Qian W
Contact email wfqian@genetics.ac.cn
Data information
Data object
  • Animal
  • Plant
Data type
  • DNA
Database category
  • Modification
Major organism
  • Homo sapiens
  • Oryza sativa
  • Mus musculus
  • Arabidopsis
Keyword
  • DNA methylation
  • epigenetic mark
Publications
  • HeteroMeth: A Database of Cell-to-cell Heterogeneity in DNA Methylation. [PMID: 30196115 ]
    Qing Huan, Yuliang Zhang, Shaohuan Wu, Wenfeng Qian

    DNA methylation is an important epigenetic mark that plays a vital role in gene expression and cell differentiation. The average DNA methylation level among a group of cells has been extensively documented. However, the cell-to-cell heterogeneity in DNA methylation, which reflects the differentiation of epigenetic status among cells, remains less investigated. Here we established a gold standard of the cell-to-cell heterogeneity in DNA methylation based on single-cell bisulfite sequencing (BS-seq) data. With that we optimized a computational pipeline for estimating the heterogeneity in DNA methylation from bulk BS-seq data. We further built HeteroMeth, a database for searching, browsing, visualizing, and downloading the data for heterogeneity in DNA methylation for a total of 141 samples in humans, mice, Arabidopsis, and rice. Three genes are used as examples to illustrate the power of HeteroMeth in the identification of unique features in DNA methylation. The optimization of the computational strategy and the construction of the database in this study complement the recent experimental attempts on single-cell DNA methylomes and will facilitate the understanding of epigenetic mechanisms underlying cell differentiation and embryonic development. HeteroMeth is publicly available at http://qianlab.genetics.ac.cn/HeteroMeth.

    Genomics Proteomics Bioinformatics 2018:null(null)

    0 Citations (from Europe PMC, 2018-11-09)

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  • Created on: 2018-09-22
    • Pan Mengyu [2018-09-21]

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