T-HOD: a literature-based candidate gene database for hypertension, obesity and diabetes.
T-HOD: a literature-based candidate gene database for hypertension, obesity and diabetes.
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DOI：
10.1093/database/bas061
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Hsu WL
中科院分区：
文献类型：
--
作者：
Dai HJ;Wu JC;Tsai RT;Pan WH;Hsu WL
由于基因定位研究呈指数级增长，研究人员发现越来越难以跟踪疾病候选基因的变化状态。T-HOD （Text-mined Hypertension, Obesity and Diabetes candidate gene database）是一种基于文本挖掘的高血压、肥胖和糖尿病候选基因数据库，通过定期和半自动地从新发表的文献中提取与高血压、肥胖和糖尿病相关的基因，帮助对高血压、肥胖和糖尿病三种心血管疾病的现有研究进行追踪，并将糖尿病分为1型和2型。目前，T-HOD中记录的高血压、肥胖和糖尿病候选基因分别为837个、835个和821个。T-HOD采用了最先进的文本挖掘技术，包括基因/疾病识别系统和疾病-基因关系提取系统，可以用来确认基因与三种疾病的关联，为进一步的研究提供更多的证据。T-HOD的主要输入是这三种疾病，输出是疾病相关基因的列表，可以根据它们的外观、蛋白质-蛋白质相互作用和单核苷酸多态性的数量进行排序。与人工构建的疾病基因数据库不同，T-HOD的内容由我们的文本挖掘系统定期更新，并由领域专家进行验证。T-HOD的界面便于用户轻松浏览，并允许T-HOD管理员有效地验证数据。我们相信T-HOD可以帮助生命科学家以更少的时间和精力来寻找更多的疾病候选基因。数据库地址：http://bws.iis.sinica.edu.tw/THOD
Researchers are finding it more and more difficult to follow the changing status of disease candidate genes due to the exponential increase in gene mapping studies. The Text-mined Hypertension, Obesity and Diabetes candidate gene database (T-HOD) is developed to help trace existing research on three kinds of cardiovascular diseases: hypertension, obesity and diabetes, with the last disease categorized into Type 1 and Type 2, by regularly and semiautomatically extracting HOD-related genes from newly published literature. Currently, there are 837, 835 and 821 candidate genes recorded in T-HOD for hypertension, obesity and diabetes, respectively. T-HOD employed the state-of-art text-mining technologies, including a gene/disease identification system and a disease–gene relation extraction system, which can be used to affirm the association of genes with three diseases and provide more evidence for further studies. The primary inputs of T-HOD are the three kinds of diseases, and the output is a list of disease-related genes that can be ranked based on their number of appearance, protein–protein interactions and single-nucleotide polymorphisms. Unlike manually constructed disease gene databases, the content of T-HOD is regularly updated by our text-mining system and verified by domain experts. The interface of T-HOD facilitates easy browsing for users and allows T-HOD curators to verify data efficiently. We believe that T-HOD can help life scientists in search for more disease candidate genes in a less time- and effort-consuming manner. Database URL: http://bws.iis.sinica.edu.tw/THOD
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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
影响因子：
3
作者：
Tsai RT;Lai PT;Dai HJ;Huang CH;Bow YY;Chang YC;Pan WH;Hsu WL
通讯作者：
Hsu WL
影响因子：
--
作者：
Fang, Yu-Ching;Huang, Hsuan-Cheng;Juan, Hsueh-Fen
通讯作者：
Juan, Hsueh-Fen
T2D-DB：研究2型糖尿病的分子基础的集成平台。
影响因子：
4.4
作者：
Agrawal S;Dimitrova N;Nathan P;Udayakumar K;Lakshmi SS;Sriram S;Manjusha N;Sengupta U
通讯作者：
Sengupta U
影响因子：
3
作者：
Fang YC;Lai PT;Dai HJ;Hsu WL
通讯作者：
Hsu WL