PubMeth: a cancer methylation database combining text-mining and expert annotation.
PubMeth: a cancer methylation database combining text-mining and expert annotation.
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DOI：
10.1093/nar/gkm788
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发表时间：
2008-01
影响因子：
14.9
通讯作者：
Van Criekinge W
中科院分区：
文献类型：
--
作者：
Ongenaert M;Van Neste L;De Meyer T;Menschaert G;Bekaert S;Van Criekinge W
表观遗传学，更具体地说，DNA甲基化是一个快速发展的研究领域。几乎在每一种癌症类型中，每个月都有新的出版物证实由于甲基化而导致的特定基因的差异化调节，并提到新的甲基化标记的发现。因此，对所有现有数据进行注释、审查、分类和总结将是非常有用的。PubMeth是一个癌症甲基化数据库，其中包括据报道在各种癌症类型中甲基化的基因。查询可以基于基因(以检查哪些癌症类型中的基因被报告为甲基化)或癌症类型(哪些基因被报告为在感兴趣的癌症(亚)类型中甲基化)。该数据库可在http://www.pubmeth.org.上免费访问PubMeth基于对Medline/PubMed摘要的文本挖掘，结合了手动阅读和预选摘要的注释。文本挖掘方法提高了速度和选择性(例如，同时搜索一个基因的许多不同别名)，而人工筛选显著提高了数据库的特异性和质量。在同时搜索更多基因或癌症类型的情况下，结果的概述是非常有用的。
Epigenetics, and more specifically DNA methylation is a fast evolving research area. In almost every cancer type, each month new publications confirm the differentiated regulation of specific genes due to methylation and mention the discovery of novel methylation markers. Therefore, it would be extremely useful to have an annotated, reviewed, sorted and summarized overview of all available data. PubMeth is a cancer methylation database that includes genes that are reported to be methylated in various cancer types. A query can be based either on genes (to check in which cancer types the genes are reported as being methylated) or on cancer types (which genes are reported to be methylated in the cancer (sub) types of interest). The database is freely accessible at http://www.pubmeth.org. PubMeth is based on text-mining of Medline/PubMed abstracts, combined with manual reading and annotation of preselected abstracts. The text-mining approach results in increased speed and selectivity (as for instance many different aliases of a gene are searched at once), while the manual screening significantly raises the specificity and quality of the database. The summarized overview of the results is very useful in case more genes or cancer types are searched at the same time.
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甲基母细胞和甲基生物症：用于基于PCR的甲基化分析的网络工具。
影响因子：
3
作者：
Pattyn F;Hoebeeck J;Robbrecht P;Michels E;De Paepe A;Bottu G;Coornaert D;Herzog R;Speleman F;Vandesompele J
通讯作者：
Vandesompele J
影响因子：
14.9
作者：
Amoreira, C;Hindermann, W;Grunau, C
通讯作者：
Grunau, C
影响因子：
5.8
作者：
Rebhan, M;Chalifa-Caspi, V;Lancet, D
通讯作者：
Lancet, D
影响因子：
3.5
作者：
DOERFLER, W;TOTH, M;OREND, G
通讯作者：
OREND, G