毒理基因组学
不良结局途径
生物
范围(计算机科学)
受控词汇
标识符
CTD公司
数据库
现象
人口
词汇
表型
计算生物学
生物信息学
计算机科学
遗传学
基因
情报检索
人口学
基因表达
语言学
程序设计语言
社会学
哲学
地质学
海洋学
作者
Allan Peter Davis,Cynthia Grondin,Robin J. Johnson,Daniela Sciaky,Roy McMorran,Jolene Wiegers,Thomas C. Wiegers,Carolyn Mattingly
摘要
The Comparative Toxicogenomics Database (CTD; http://ctdbase.org/) is a premier public resource for literature-based, manually curated associations between chemicals, gene products, phenotypes, diseases, and environmental exposures. In this biennial update, we present our new chemical-phenotype module that codes chemical-induced effects on phenotypes, curated using controlled vocabularies for chemicals, phenotypes, taxa, and anatomical descriptors; this module provides unique opportunities to explore cellular and system-level phenotypes of the pre-disease state and allows users to construct predictive adverse outcome pathways (linking chemical-gene molecular initiating events with phenotypic key events, diseases, and population-level health outcomes). We also report a 46% increase in CTD manually curated content, which when integrated with other datasets yields more than 38 million toxicogenomic relationships. We describe new querying and display features for our enhanced chemical-exposure science module, providing greater scope of content and utility. As well, we discuss an updated MEDIC disease vocabulary with over 1700 new terms and accession identifiers. To accommodate these increases in data content and functionality, CTD has upgraded its computational infrastructure. These updates continue to improve CTD and help inform new testable hypotheses about the etiology and mechanisms underlying environmentally influenced diseases.
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