University of Wollongong
Browse

Towards Biological Sequence Data Service with Insights

Download (370.42 kB)
conference contribution
posted on 2024-11-14, 10:19 authored by Huaming Chen, Jun ShenJun Shen, Lei WangLei Wang, Chi-Hung Chi
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.

History

Citation

Chen, H., Shen, J., Wang, L. & Chi, C. (2018). Towards Biological Sequence Data Service with Insights. 2018 IEEE International Conference on Big Data (Big Data) (pp. 2847-2854). United States: IEEE.

Parent title

Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

Pagination

2847-2854

Language

English

RIS ID

124636

Usage metrics

    Categories

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC