Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database Profile

General information

URL: https://ngdc.cncb.ac.cn/methbank/scm
Full name: Single-cell Methylation Bank
Description: A database of single-cell methylation maps for human and mouse.
Year founded: 2020
Last update: 2021-09
Version: v1
Accessibility:
Manual:
Accessible
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Country/Region: China

Classification and Labelling

Data type:
DNA
Data object:
Database category:
Major organism:
Keywords:

Contact information

University/Institution: Beijing Institute of Genomics, Chinese Academy of Sciences
Address: No.1 Beichen West Road, Chaoyang District, Beijing 100101, China
City: Beijing
Province/State: Beijing
Country/Region: China
Contact name (PI/Team): Rujiao Li
Contact email (PI/Helpdesk): lirj@big.ac.cn

Publications

34570235
scMethBank: a database for single-cell whole genome DNA methylation maps. [PMID: 34570235]
Zong W, Kang H, Xiong Z, Ma Y, Jin T, Gong Z, Yi L, Zhang M, Wu S, Wang G, Bao Y, Li R.

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: https://ngdc.cncb.ac.cn/methbank/scm/.

Nucleic Acids Res. 2021:() | 3 Citations (from Europe PMC, 2022-05-14)

Ranking

All databases:
2241/5177 (56.732%)
Modification:
134/251 (47.012%)
2241
Total Rank
3
Citations
3
z-index

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Record metadata

Created on: 2020-09-05
Curated by:
Dong Zou [2021-10-19]
Dong Zou [2021-09-27]
Dong Zou [2021-09-15]
Dong Zou [2020-09-05]
D Z [2020-09-05]