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Design of Knowledge Bases for Plant Gene Regulatory Networks.
Mukundi, Eric; Gomez-Cano, Fabio; Ouma, Wilberforce Zachary; Grotewold, Erich.
Affiliation
  • Mukundi E; Center for Applied Plant Sciences (CAPS), The Ohio State University, Columbus, OH, USA.
  • Gomez-Cano F; Center for Applied Plant Sciences (CAPS), The Ohio State University, Columbus, OH, USA.
  • Ouma WZ; Center for Applied Plant Sciences (CAPS), The Ohio State University, Columbus, OH, USA.
  • Grotewold E; Molecular, Cellular and Developmental Biology Graduate Program, The Ohio State University, Columbus, OH, USA.
Methods Mol Biol ; 1629: 207-223, 2017.
Article in En | MEDLINE | ID: mdl-28623588
Developing a knowledge base that contains all the information necessary for the researcher studying gene regulation in a particular organism can be accomplished in four stages. This begins with defining the data scope. We describe here the necessary information and resources, and outline the methods for obtaining data. The second stage consists of designing the schema, which involves defining the entire arrangement of the database in a systematic plan. The third stage is the implementation, defined by actualization of the database by using software according to a predefined schema. The final stage is development, where the database is made available to users in a web-accessible system. The result is a knowledgebase that integrates all the information pertaining to gene regulation, and which is easily expandable and transferable.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plants / Gene Expression Regulation, Plant / Databases, Genetic / Knowledge Bases / Gene Regulatory Networks Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2017 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plants / Gene Expression Regulation, Plant / Databases, Genetic / Knowledge Bases / Gene Regulatory Networks Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2017 Document type: Article Affiliation country: United States Country of publication: United States