An Ontology and a REST API for Sequence Based Microbial Typing Data

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• 作者：Jo?o Almeida (21)
  Jo?o Tiple (21)
  Mário Ramirez (22)
  José Melo-Cristino (22)
  Cátia Vaz (21) (23)
  Alexandre P. Francisco (23) (24)
  Jo?o A. Carri?o (22)
  
• 关键词：ontology ; knowledge representation ; data as a service ; microbial typing methods
• 刊名：Lecture Notes in Computer Science
• 出版年：2012
• 出版时间：2012
• 年：2012
• 卷：6620
• 期：1
• 页码：29-41
• 全文大小：326KB
• 参考文献：1. Aguiar, S., Serrano, I., Pinto, F., Melo-Cristino, J., Ramirez, M.: Changes in Streptococcus pneumoniae serotypes causing invasive disease with non-universal vaccination coverage of the seven-valent conjugate vaccine. Clinical Microbiology and Infection?14(9), 835-43 (2008) CrossRef
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• 作者单位：Jo?o Almeida (21)
  Jo?o Tiple (21)
  Mário Ramirez (22)
  José Melo-Cristino (22)
  Cátia Vaz (21) (23)
  Alexandre P. Francisco (23) (24)
  Jo?o A. Carri?o (22)
  
  21. DEETC, ISEL, Poly Inst. of Lisbon, Portugal
  22. IM / IMM, FM, Univ. of Lisbon, Portugal
  23. INESC-ID Lisbon, Portugal
  24. CSE Dept., IST, Tech. Univ. of Lisbon, Portugal
  
• ISSN：1611-3349

文摘

In the Microbial typing field, the need to have a common understanding of the concepts described and the ability to share results within the community is an increasingly important requisite for the continued development of portable and accurate sequence-based typing methods. These methods are used for bacterial strain identification and are fundamental tools in Clinical Microbiology and Bacterial Population Genetics studies. In this article we propose an ontology designed for the microbial typing field, focusing on the widely used Multi Locus Sequence Typing methodology, and a RESTful API for accessing information systems based on the proposed ontology. This constitutes an important first step to accurately describe, analyze, curate, and manage information for microbial typing methodologies based on sequence based typing methodologies, and allows for the future integration with data analysis Web services.