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组学信息学:从零散的单个软件工具到集成工作流管理系统

Omics Informatics: From Scattered Individual Software Tools to Integrated Workflow Management Systems.

作者信息

Ma Tianle, Zhang Aidong

出版信息

IEEE/ACM Trans Comput Biol Bioinform. 2017 Jul-Aug;14(4):926-946. doi: 10.1109/TCBB.2016.2535251. Epub 2016 Feb 26.

Abstract

Omic data analyses pose great informatics challenges. As an emerging subfield of bioinformatics, omics informatics focuses on analyzing multi-omic data efficiently and effectively, and is gaining momentum. There are two underlying trends in the expansion of omics informatics landscape: the explosion of scattered individual omics informatics tools with each of which focuses on a specific task in both single- and multi- omic settings, and the fast-evolving integrated software platforms such as workflow management systems that can assemble multiple tools into pipelines and streamline integrative analysis for complicated tasks. In this survey, we give a holistic view of omics informatics, from scattered individual informatics tools to integrated workflow management systems. We not only outline the landscape and challenges of omics informatics, but also sample a number of widely used and cutting-edge algorithms in omics data analysis to give readers a fine-grained view. We survey various workflow management systems (WMSs), classify them into three levels of WMSs from simple software toolkits to integrated multi-omic analytical platforms, and point out the emerging needs for developing intelligent workflow management systems. We also discuss the challenges, strategies and some existing work in systematic evaluation of omics informatics tools. We conclude by providing future perspectives of emerging fields and new frontiers in omics informatics.

摘要

组学数据分析带来了巨大的信息学挑战。作为生物信息学的一个新兴子领域,组学信息学专注于高效且有效地分析多组学数据,并且正在蓬勃发展。组学信息学领域的扩展存在两个潜在趋势:分散的单个组学信息学工具激增,每个工具都专注于单组学和多组学环境中的特定任务;以及快速发展的集成软件平台,如工作流管理系统,它可以将多个工具组装成管道,并简化复杂任务的综合分析。在本次综述中,我们从分散的单个信息学工具到集成的工作流管理系统,对组学信息学进行了全面的阐述。我们不仅概述了组学信息学的领域和挑战,还列举了一些组学数据分析中广泛使用的前沿算法,以便让读者有更深入的了解。我们调研了各种工作流管理系统(WMS),将它们从简单的软件工具包到集成的多组学分析平台分为三个层次的WMS,并指出了开发智能工作流管理系统的新需求。我们还讨论了组学信息学工具系统评估中的挑战、策略和一些现有工作。最后,我们展望了组学信息学新兴领域和新前沿的未来前景。

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