Data integration in biological research: an overview.

Pub Date : 2015-09-02 eCollection Date: 2015-12-01 DOI:10.1186/s40709-015-0032-5
Vasileios Lapatas, Michalis Stefanidakis, Rafael C Jimenez, Allegra Via, Maria Victoria Schneider
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Abstract

Data sharing, integration and annotation are essential to ensure the reproducibility of the analysis and interpretation of the experimental findings. Often these activities are perceived as a role that bioinformaticians and computer scientists have to take with no or little input from the experimental biologist. On the contrary, biological researchers, being the producers and often the end users of such data, have a big role in enabling biological data integration. The quality and usefulness of data integration depend on the existence and adoption of standards, shared formats, and mechanisms that are suitable for biological researchers to submit and annotate the data, so it can be easily searchable, conveniently linked and consequently used for further biological analysis and discovery. Here, we provide background on what is data integration from a computational science point of view, how it has been applied to biological research, which key aspects contributed to its success and future directions.

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生物研究中的数据整合:概述。
数据共享、整合和注释对于确保分析和解释实验结果的可重复性至关重要。这些活动通常被认为是生物信息学家和计算机科学家必须承担的职责,实验生物学家没有或很少参与。相反,作为这些数据的生产者和最终用户,生物研究人员在实现生物数据整合方面发挥着重要作用。数据整合的质量和实用性取决于是否存在和采用适合生物研究人员提交和注释数据的标准、共享格式和机制,以便于搜索、方便链接和用于进一步的生物分析和发现。在此,我们将从计算科学的角度介绍什么是数据整合、数据整合如何应用于生物研究、数据整合成功的关键因素以及未来的发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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