DiseaseMeth: a human disease methylation database.
DiseaseMeth: a human disease methylation database.
复制标题
DiseaseMeth：人类疾病甲基化数据库
DOI：
10.1093/nar/gkr1169
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发表时间：
2012-01
影响因子：
14.9
通讯作者：
Zhang Y
中科院分区：
文献类型：
--
作者：
Lv J;Liu H;Su J;Wu X;Liu H;Li B;Xiao X;Wang F;Wu Q;Zhang Y
DNA甲基化是高等生物基因组调控的一种重要的表观遗传修饰，在疾病的发生和发展中起着至关重要的作用。通过甲基化特异性聚合酶链式反应和全基因组图谱技术整合和挖掘DNA甲基化数据，可以极大地帮助发现新的候选疾病生物标志物。然而，如果没有全面的人类疾病DNA甲基化资料库，这是很难做到的。因此，我们开发了疾病甲基化数据库(http://bioinfo.hrbmu.edu.cn/diseasemeth).它的重点是各种疾病的DNA甲基化数据集的有效存储和统计分析。从14000多个 条目和来自广泛来源的175个高通量数据集收集了实验信息，并将其纳入DiseaseMeth。最新发布的数据纳入了来自各种技术和平台的72种人类疾病的以基因为中心的甲基化数据。为了方便数据提取，DiseaseMeth支持多种搜索选项，如基因ID和疾病名称。DiseaseMeth基于对疾病和正常样本的交叉数据集分析，提供完整的基因甲基化数据。这些结果可用于深入鉴定差异甲基化基因和研究基因与疾病的关系。
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.
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影响因子：
8
作者：
Kim, J. K.;Samaranayake, M.;Pradhan, S.
通讯作者：
Pradhan, S.
影响因子：
14.9
作者：
Ongenaert M;Van Neste L;De Meyer T;Menschaert G;Bekaert S;Van Criekinge W
通讯作者：
Van Criekinge W
DOI：
10.1007/s00428-009-0847-2
发表时间：
2010-01
期刊：
Virchows Archiv : an international journal of pathology
影响因子：
--
作者：
Feinberg AP
通讯作者：
Feinberg AP
影响因子：
4.8
作者：
Shahbazian, MD;Zoghbi, HY
通讯作者：
Zoghbi, HY
影响因子：
11.4
作者：
Rahmatpanah, F. B.;Carstens, S.;Caldwell, C. W.
通讯作者：
Caldwell, C. W.