A tuberculosis ontology for host systems biology.
A tuberculosis ontology for host systems biology.
复制标题
DOI：
10.1016/j.tube.2015.05.012
复制
发表时间：
2015-09
期刊：
影响因子：
--
通讯作者：
Salamon H
中科院分区：
文献类型：
--
作者：
Levine DM;Dutta NK;Eckels J;Scanga C;Stein C;Mehra S;Kaushal D;Karakousis PC;Salamon H
结核病（TB）研究人员想要利用来自系统生物学方法和组学技术的快速增长的数据，面临的一个主要障碍是缺乏用于数据注释和报告的标准词汇表。由于缺乏一种方法来比较来自不同研究小组的样本，研究人员在很大程度上忽略了大量潜在的信息数据。为了促进跨研究的数据标准化，开发了一个简单的TB术语本体，为注释数据集提供通用词汇表。开发了新的术语来解决动物模型和实验系统，并修改和调整了现有的临床术语。该本体可用于注释公共数据库和协作中的宿主TB数据，从而标准化数据库搜索并允许研究人员更容易地比较结果。为了证明宿主系统生物学的标准TB本体的实用性，开发了一个Web应用程序来注释和比较人类和动物模型基因表达数据集。
A major hurdle facing tuberculosis (TB) investigators who want to utilize a rapidly growing body of data from both systems biology approaches and omics technologies is the lack of a standard vocabulary for data annotation and reporting. Lacking a means to readily compare samples from different research groups, a significant quantity of potentially informative data is largely ignored by researchers. To facilitate standardizing data across studies, a simple ontology of TB terms was developed to provide a common vocabulary for annotating data sets. New terminology was developed to address animal models and experimental systems, and existing clinically focused terminology was modified and adapted. This ontology can be used to annotate host TB data in public databases and collaborations, thereby standardizing database searches and allowing researchers to more easily compare results. To demonstrate the utility of a standard TB ontology for host systems biology, a web application was developed to annotate and compare human and animal model gene expression data sets.