scMethBank: a database for single-cell whole genome DNA methylation maps

Nucleic Acids Res. 2022 Jan 7;50(D1):D380-D386. doi: 10.1093/nar/gkab833.


Single-cell bisulfite sequencing methods are widely used to assess epigenomic heterogeneity in cell states. Over the past few years, large amounts of data have been generated and facilitated deeper understanding of the epigenetic regulation of many key biological processes including early embryonic development, cell differentiation and tumor progression. It is an urgent need to build a functional resource platform with the massive amount of data. Here, we present scMethBank, the first open access and comprehensive database dedicated to the collection, integration, analysis and visualization of single-cell DNA methylation data and metadata. Current release of scMethBank includes processed single-cell bisulfite sequencing data and curated metadata of 8328 samples derived from 15 public single-cell datasets, involving two species (human and mouse), 29 cell types and two diseases. In summary, scMethBank aims to assist researchers who are interested in cell heterogeneity to explore and utilize whole genome methylation data at single-cell level by providing browse, search, visualization, download functions and user-friendly online tools. The database is accessible at:

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Chromosome Mapping
  • DNA Methylation*
  • Databases, Genetic*
  • Datasets as Topic
  • Epigenesis, Genetic*
  • Genome*
  • Humans
  • Internet
  • Metadata / statistics & numerical data*
  • Mice
  • Molecular Sequence Annotation
  • Single-Cell Analysis
  • Software*
  • Whole Genome Sequencing