RESTful API in Life Science Research Systems and Data Integration Challenges： Linking Metabolic Pathway, Metabolic Network, Gene and Publication
RESTful API in Life Science Research Systems and Data Integration Challenges： Linking Metabolic Pathway, Metabolic Network, Gene and Publication作者机构：Computer Science Department University of South Dakota Vermillion SD 57069 USA UPSP EGEAL Institute Polytechnique LaSalle Beauvais Beauvais BP 30313-60026 France
出 版 物：《通讯和计算机（中英文版）》 (Journal of Communication and Computer)
年 卷 期：2013年第10卷第9期
页 面：1196-1199页
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 09[农学] 0903[农学-农业资源与环境] 0713[理学-生态学]
主 题：数据集成 代谢途径 REST 生命科学 生物系统 科学研究 API 出版物
摘 要：Translational science research development requires life sciences researchers to update their concept on systems integration and data integration. The RESTful API has proven to be very useful in integrating the massive amount of data and tools. This work presents an approach for biological systems analysis based on the semantic web and RESTful API. The integration of this approach in the BioExtract Server engine as a WMS (workflow management system) allows us to apply our work to the linking of several biological levels (metabolic pathway, metabolic network model, genes and publications). This work shows how HPC infrastructure and RESTful API can be an opportunity in Systems Biology and life science research challenges. We present a use case in BioExtract server as an integrated workflow management system. The use case shows how we can extract data to build a mathematical model for a specific biological system. The two workflow examples provided in this work enhance the flexibility in the workflow for reusability. Then any other researcher can customize the same workflow for different gene name or biological process.
维普期刊数据库