MethBank 4.0: an updated database of DNA methylation across a variety of species

Author:

Zhang Mochen123ORCID,Zong Wenting123ORCID,Zou Dong12,Wang Guoliang123,Zhao Wei123,Yang Fei12,Wu Song123ORCID,Zhang Xinran123,Guo Xutong123,Ma Yingke12,Xiong Zhuang123ORCID,Zhang Zhang123ORCID,Bao Yiming123,Li Rujiao123

Affiliation:

1. National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation , Beijing 100101, China

2. China National Center for Bioinformation , Beijing 100101, China

3. University of Chinese Academy of Sciences , Beijing 100049, China

Abstract

Abstract DNA methylation, as the most intensively studied epigenetic mark, regulates gene expression in numerous biological processes including development, aging, and disease. With the rapid accumulation of whole-genome bisulfite sequencing data, integrating, archiving, analyzing, and visualizing those data becomes critical. Since its first publication in 2015, MethBank has been continuously updated to include more DNA methylomes across more diverse species. Here, we present MethBank 4.0 (https://ngdc.cncb.ac.cn/methbank/), which reports an increase of 309% in data volume, with 1449 single-base resolution methylomes of 23 species, covering 236 tissues/cell lines and 15 biological contexts. Value-added information, such as more rigorous quality evaluation, more standardized metadata, and comprehensive downstream annotations have been integrated in the new version. Moreover, expert-curated knowledge modules of featured differentially methylated genes associated with biological contexts and methylation analysis tools have been incorporated as new components of MethBank. In addition, MethBank 4.0 is equipped with a series of new web interfaces to browse, search, and visualize DNA methylation profiles and related information. With all these improvements, we believe the updated MethBank 4.0 will serve as a fundamental resource to provide a wide range of data services for the global research community.

Funder

National Key Research and Development Program of China

Strategic Priority Research Program of the Chinese Academy of Sciences

Genomics Data Center Construction of Chinese Academy of Sciences

Professional Association of the Alliance of International Science Organizations

Publisher

Oxford University Press (OUP)

Subject

Genetics

Reference43 articles.

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