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引用次数: 3

摘要

近年来,存储的基因组数据量显著增加。在他们的分析和知识发现的主要挑战是建议先进和有效的工具,方法和技术的访问和处理。提出了一种基于SOA的基因组大数据分析自适应知识发现与决策系统。该系统架构由用于数据集成、大数据流预处理、基于基因组数据分析的知识发现、知识解释和结果可视化的web服务组成。对所开发系统的功能进行了说明。为进行系统测试和验证,开发了用于乳腺癌数据处理的web服务。提出的系统架构为科学家提供了一种简单、快速和灵活的数据处理方法。他们可以选择要执行的服务,使用数据库中可用的数据集,或者输入自己要处理的数据。
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SOA Based System for Big Genomic Data Analytics and Knowledge Discovery
The volume of stored genomic data has increased significantly in the recent years. Main challenge in their analysis and knowledge discovery is to suggest advanced and efficient tools, methods and technologies for access and processing. SOA based system for adaptive knowledge discovery and decision making based on big genomic data analytics is proposed in this paper. The system architecture is comprised of web services for data integration, preprocessing of large data streams, knowledge discovery based on genomic data analytics, knowledge interpretation and results visualization. The functionality of the developed system is explained. A web service for breast cancer data processing has been developed for the purpose of system testing and validation. The proposed system architecture allows scientists an easy, fast and flexible approach for data processing. They can choose the services they wish to be executed, use the available data sets in databases, or enter their own data to be processed.
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