A semantic web approach to biological pathway data reasoning and integration

被引:7
作者
Cheung, Kei-Hoi
Qi, Peishen
Tuck, David
Krauthammer, Michael
机构
[1] Yale Univ, Ctr Med Informat, New Haven, CT 06520 USA
[2] Yale Univ, Dept Anesthesiol, New Haven, CT 06520 USA
[3] Yale Univ, Dept Genet, New Haven, CT 06520 USA
[4] Yale Univ, Dept Comp Sci, New Haven, CT 06520 USA
[5] Yale Univ, Dept Pathol, New Haven, CT 06520 USA
来源
JOURNAL OF WEB SEMANTICS | 2006年 / 4卷 / 03期
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
semantic web; life sciences; pathway; BioPAX; knowledge representation and reasoning;
D O I
10.1016/j.websem.2006.05.005
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes the use of semantic web technology and Description Logic (DL) for facilitating the integration of molecular pathway data, which is illustrated by an Web Ontology Language (OWL)- based transformation of a more complex pathway structure (Reactome) into a simpler one (HPRD). The process starts by adding OWL axioms to BioPAX, a pathway interchange standard. The axioms are designed for mapping BioPAX- formatted Reactome interactions to "molecular binding event" interactions, which can be easily aligned with the HPRD data. Using an automated OWL reasoner, we find overlapping and non- overlapping molecular interactions between the two pathway datasets. The paper demonstrates the potential of semantic web and its enabling technologies in biological pathway data reasoning and integration. (C) 2006 Elsevier B. V. All rights reserved.
引用
收藏
页码:207 / 215
页数:9
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