PUBLICATION
MethBank: a database integrating next-generation sequencing single-base-resolution DNA methylation programming data
- Authors
- Zou, D., Sun, S., Li, R., Liu, J., Zhang, J., Zhang, Z.
- ID
- ZDB-PUB-141009-3
- Date
- 2015
- Source
- Nucleic acids research 43(Database issue): D54-8 (Journal)
- Registered Authors
- Zhang, Jing
- Keywords
- none
- MeSH Terms
-
- Animals
- CpG Islands
- DNA Methylation*
- Databases, Nucleic Acid*
- Embryonic Development/genetics*
- Germ Cells/metabolism
- High-Throughput Nucleotide Sequencing
- Internet
- Mice
- Polymorphism, Genetic
- Sequence Analysis, DNA
- Transcriptome
- Zebrafish/genetics
- PubMed
- 25294826 Full text @ Nucleic Acids Res.
Citation
Zou, D., Sun, S., Li, R., Liu, J., Zhang, J., Zhang, Z. (2015) MethBank: a database integrating next-generation sequencing single-base-resolution DNA methylation programming data. Nucleic acids research. 43(Database issue):D54-8.
Abstract
DNA methylation plays crucial roles during embryonic development. Here we present MethBank (http://dnamethylome.org), a DNA methylome programming database that integrates the genome-wide single-base 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. MethBank 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 investigate methylation 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.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping