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| 題名: | T-HOD: A literature-based candidate gene database for hypertension, obesity and diabetes |
| 作者: | 蔡宗翰;Dai, Hong-Jie;Wu, Johnny Chi-Yang;Tsai, Richard Tzong-Han;Pan, Wen-Harn;Hsu, Wen-Lian |
| 貢獻者: | 資訊電機學院資訊工程學系 |
| 關鍵詞: | Data Mining;Databases, Genetic;Diabetes Mellitus - genetics;Genetic Association Studies;Genetic Predisposition to Disease;Humans;Hypertension - genetics;Obesity - genetics;Original;Polymorphism, Single Nucleotide - genetics;Software Design;Statistics as Topic;User-Computer Interface |
| 日期: | 2013-12-01 |
| 上傳時間: | 2026-04-23 14:13:06 (UTC+8) |
| 出版者: | Oxford University Press;England: Oxford University Press |
| 摘要: | 摘要： 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.
其他題名： Database (Oxford)
出版者： England: Oxford University Press
出版日期： 2013
出處： Database : the journal of biological databases and curation, 2013, Vol.2013, p.bas061
版權： The Author(s) 2013. Published by Oxford University Press. 2013
識別號： ISSN: 1758-0463
識別號： EISSN: 1758-0463
識別號： DOI: 10.1093/database/bas061
識別號： PMID: 23406793 |
| 顯示於類別: | [資訊工程學系] 期刊論文
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