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SGMFQP: An ontology-based Swine Gut Microbiota Federated Query Platform.
Wang, Ying; Jiang, Qin; Geng, Yilin; Hu, Yuren; Tang, Yue; Li, Jixiang; Zhang, Junmei; Mayer, Wolfgang; Liu, Shanmei; Zhang, Hong-Yu; Yan, Xianghua; Feng, Zaiwen.
Afiliación
  • Wang Y; State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China; College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China.
  • Jiang Q; College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan 430070, China.
  • Geng Y; College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China.
  • Hu Y; College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China.
  • Tang Y; College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China.
  • Li J; College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China.
  • Zhang J; College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China.
  • Mayer W; Industrial AI Research Centre, University of South Australia, Mawson Lakes, SA 5095, Australia.
  • Liu S; College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China.
  • Zhang HY; College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China; Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan 430070, China; Key Laboratory of Smart Farming for Agricultural Animals, Ministry of Agriculture and Rural Affairs, Huazhong Ag
  • Yan X; State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China; College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan 430070, China. Electronic address: xhyan@mail.hzau.edu.cn.
  • Feng Z; State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China; College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China; Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan 430070, China; Key La
Methods ; 212: 12-20, 2023 04.
Article en En | MEDLINE | ID: mdl-36858137
ABSTRACT
Gut microbiota plays a crucial role in modulating pig development and health, and gut microbiota characteristics are associated with differences in feed efficiency. To answer open questions in feed efficiency analysis, biologists seek to retrieve information across multiple heterogeneous data sources. However, this is error-prone and time-consuming work since the queries can involve a sequence of multiple sub-queries over several databases. We present an implementation of an ontology-based Swine Gut Microbiota Federated Query Platform (SGMFQP) that provides a convenient, automated, and efficient query service about swine feeding and gut microbiota. The system is constructed based on a domain-specific Swine Gut Microbiota Ontology (SGMO), which facilitates the construction of queries independent of the actual organization of the data in the individual sources. This process is supported by a template-based query interface. A Datalog+-based federated query engine transforms the queries into sub-queries tailored for each individual data source, and an automated workflow orchestration mechanism executes the queries in each source database and consolidates the results. The efficiency of the system is demonstrated on several swine feeding scenarios.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Interfaz Usuario-Computador / Microbioma Gastrointestinal Límite: Animals Idioma: En Revista: Methods Asunto de la revista: BIOQUIMICA Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Interfaz Usuario-Computador / Microbioma Gastrointestinal Límite: Animals Idioma: En Revista: Methods Asunto de la revista: BIOQUIMICA Año: 2023 Tipo del documento: Article País de afiliación: China