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A rigorous approach to facilitate and guarantee the correctness of the genetic testing management in human genome information systems

机译:在人类基因组信息系统中促进和保证基因检测管理正确性的严格方法

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Abstract Background Recent medical and biological technology advances have stimulated the development of new testing systems that have been providing huge, varied amounts of molecular and clinical data. Growing data volumes pose significant challenges for information processing systems in research centers. Additionally, the routines of genomics laboratory are typically characterized by high parallelism in testing and constant procedure changes. Results This paper describes a formal approach to address this challenge through the implementation of a genetic testing management system applied to human genome laboratory. We introduced the Human Genome Research Center Information System (CEGH) in Brazil, a system that is able to support constant changes in human genome testing and can provide patients updated results based on the most recent and validated genetic knowledge. Our approach uses a common repository for process planning to ensure reusability, specification, instantiation, monitoring, and execution of processes, which are defined using a relational database and rigorous control flow specifications based on process algebra (ACP). The main difference between our approach and related works is that we were able to join two important aspects: 1) process scalability achieved through relational database implementation, and 2) correctness of processes using process algebra. Furthermore, the software allows end users to define genetic testing without requiring any knowledge about business process notation or process algebra. Conclusions This paper presents the CEGH information system that is a Laboratory Information Management System (LIMS) based on a formal framework to support genetic testing management for Mendelian disorder studies. We have proved the feasibility and showed usability benefits of a rigorous approach that is able to specify, validate, and perform genetic testing using easy end user interfaces.
机译:背景技术近年来,医学和生物技术的发展推动了新测试系统的发展,这些系统已经提供了大量,多样的分子和临床数据。不断增长的数据量给研究中心的信息处理系统带来了巨大的挑战。另外,基因组学实验室的常规操作通常具有测试并行性高和过程不断更改的特点。结果本文描述了通过实施应用于人类基因组实验室的基因测试管理系统来应对这一挑战的正式方法。我们在巴西推出了人类基因组研究中心信息系统(CEGH),该系统能够支持人类基因组测试的不断变化,并能够根据最新的经过验证的遗传知识为患者提供更新的结果。我们的方法使用通用的存储库进行流程规划,以确保流程的可重用性,规范,实例化,监视和执行,这些流程是使用关系数据库和基于流程代数(ACP)的严格控制流规范来定义的。我们的方法与相关工作之间的主要区别在于,我们能够加入两个重要方面:1)通过关系数据库实现实现的过程可伸缩性,以及2)使用过程代数的过程的正确性。此外,该软件允许最终用户定义基因测试,而无需任何有关业务流程符号或流程代数的知识。结论本文介绍了CEGH信息系统,它是一个基于正式框架的实验室信息管理系统(LIMS),可支持孟德尔疾病研究的基因检测管理。我们已经证明了可行性,并显示了一种严格的方法的可用性优势,该方法能够使用简单的最终用户界面指定,验证和执行基因测试。

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