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- W2913958085 abstract "Testable prediction outcomes generated by computational models based on available databases are the primary sources helping to design biological experiments. Although numerous databases have been designed by collecting data either only from literature manually or together with prediction outcomes from computational models, there is currently not a comprehensive data service framework delivering better insights for these results. In this paper, we introduce a biological sequence data service towards delivering deeper insights and helping better biological experiments design. The service includes following major components: a comprehensive database for storing biological data, data analytics tools for analysing biological data, and computational models for delivering testable prediction outcomes. Specifically, we present this service in a framework for studies on host-pathogen interactions. The design of this framework aims to improve the understanding of host-pathogen interactions. The relationships of hierarchical databases and their working mechanism, specifically between PPIs and DDIs, are also presented in this framework. Finally, the preliminary and practical experiences of building computational model for prediction is discussed." @default.
- W2913958085 created "2019-02-21" @default.
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- W2913958085 date "2018-12-01" @default.
- W2913958085 modified "2023-10-07" @default.
- W2913958085 title "Towards Biological Sequence Data Service with Insights" @default.
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- W2913958085 doi "https://doi.org/10.1109/bigdata.2018.8622194" @default.
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