Integration of Large Datasets for Plant Model Organisms: a Guided Tour to Knowledge Aggregration - Yves Sucaet - 書籍 - LAP LAMBERT Academic Publishing - 9783659524608 - 2014年6月9日
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Integration of Large Datasets for Plant Model Organisms: a Guided Tour to Knowledge Aggregration

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With the advent of Big Data, data integration is very important topic in the heterogeneous bioinformatics landscape. This book starts off with the current state of biological pathway databases in general, and in particular, plant pathway databases. We explore different models to interface with the various stakeholders of biological data repositories. We discuss the potential use of XML as a repository for information integration, downstream processing, and data. Having explored different alternatives, we build up our own comprehensive knowledge repository for plant metabolic networks. A public website (http://www.metnetonline.org) was built to make information available for ad-hoc users. In addition, a dedicated API (MetNetAPI: http://www.metnetonline.org/api) is provided to accommodate bioinformaticians and software developers who wish to build advanced applications on top of the warehouse. Integrated databases are only useful when they can be synchronized with their respective external sources. We?ve created a framework for a systematic approach to integration. This work thus provides a roadmap to current and future biological database projects

メディア 書籍     Paperback Book   (ソフトカバーで背表紙を接着した本)
リリース済み 2014年6月9日
ISBN13 9783659524608
出版社 LAP LAMBERT Academic Publishing
ページ数 112
寸法 150 × 7 × 226 mm   ·   185 g
言語 ドイツ語  

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