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- Title
DiseaseMeth: a human disease methylation database.
- Authors
Lv, Jie; Liu, Hongbo; Su, Jianzhong; Wu, Xueting; Liu, Hui; Li, Boyan; Xiao, Xue; Wang, Fang; Wu, Qiong; Zhang, Yan
- Abstract
DNA methylation is an important epigenetic modification for genomic regulation in higher organisms that plays a crucial role in the initiation and progression of diseases. The integration and mining of DNA methylation data by methylation-specific PCR and genome-wide profiling technology could greatly assist the discovery of novel candidate disease biomarkers. However, this is difficult without a comprehensive DNA methylation repository of human diseases. Therefore, we have developed DiseaseMeth, a human disease methylation database (http://bioinfo.hrbmu.edu.cn/diseasemeth). Its focus is the efficient storage and statistical analysis of DNA methylation data sets from various diseases. Experimental information from over 14,000 entries and 175 high-throughput data sets from a wide number of sources have been collected and incorporated into DiseaseMeth. The latest release incorporates the gene-centric methylation data of 72 human diseases from a variety of technologies and platforms. To facilitate data extraction, DiseaseMeth supports multiple search options such as gene ID and disease name. DiseaseMeth provides integrated gene methylation data based on cross-data set analysis for disease and normal samples. These can be used for in-depth identification of differentially methylated genes and the investigation of gene-disease relationship.
- Publication
Nucleic acids research, 2012, Vol 40, Issue Database issue, pD1030
- ISSN
1362-4962
- Publication type
Journal Article
- DOI
10.1093/nar/gkr1169