MethBank: A database integrating next-generation sequencing single-base-resolution DNA methylation programming data

Dong Zou, Shixiang Sun, Rujiao Li, Jiang Liu, Jing Zhang, Zhang Zhang

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

DNA methylation plays crucial roles during embryonic development. Here we presentMethBank (http://dnamethylome.org), a DNA methylome programming database that integrates the genome-wide singlebase nucleotide methylomes of gametes and early embryos in different model organisms. Unlike extant relevant databases, MethBank incorporates the whole-genome single-base-resolution methylomes of gametes and early embryos at multiple different developmental stages in zebrafish and mouse. Meth-Bank allows users to retrieve methylation levels, differentially methylated regions, CpG islands, gene expression profiles and genetic polymorphisms for a specific gene or genomic region. Moreover, it offers a methylome browser that is capable of visualizing high-resolution DNA methylation profiles as well as other related data in an interactive manner and thus is of great helpfulness for users to investigatemethylation patterns and changes of gametes and early embryos at different developmental stages. Ongoing efforts are focused on incorporation of methylomes and related data from other organisms. Together, MethBank features integration and visualization of high-resolution DNA methylation data as well as other related data, enabling identification of potential DNA methylation signatures in different developmental stages and accordingly providing an important resource for the epigenetic and developmental studies.

Original languageEnglish (US)
Pages (from-to)D54-D58
JournalNucleic acids research
Volume43
Issue numberD1
DOIs
StatePublished - Jan 28 2015
Externally publishedYes

ASJC Scopus subject areas

  • Genetics

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