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从 Bgee 经验中获得的提高生物信息学知识库可重用性的经验教训。

Lessons learned to boost a bioinformatics knowledge base reusability, the Bgee experience.

机构信息

SIB Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland.

Department of Ecology and Evolution, University of Lausanne, Lausanne 1015, Switzerland.

出版信息

Gigascience. 2022 Dec 28;12. doi: 10.1093/gigascience/giad058. Epub 2023 Aug 17.

Abstract

BACKGROUND

Enhancing interoperability of bioinformatics knowledge bases is a high-priority requirement to maximize data reusability and thus increase their utility such as the return on investment for biomedical research. A knowledge base may provide useful information for life scientists and other knowledge bases, but it only acquires exchange value once the knowledge base is (re)used, and without interoperability, the utility lies dormant.

RESULTS

In this article, we discuss several approaches to boost interoperability depending on the interoperable parts. The findings are driven by several real-world scenario examples that were mostly implemented by Bgee, a well-established gene expression knowledge base. To better justify the findings are transferable, for each Bgee interoperability experience, we also highlight similar implementations by major bioinformatics knowledge bases. Moreover, we discuss ten general main lessons learned. These lessons can be applied in the context of any bioinformatics knowledge base to foster data reusability.

CONCLUSIONS

This work provides pragmatic methods and transferable skills to promote reusability of bioinformatics knowledge bases by focusing on interoperability.

摘要

背景

提高生物信息学知识库的互操作性是最大化数据可重用性的高优先级要求,从而提高它们的实用性,例如为生物医学研究带来投资回报。知识库可以为生命科学家和其他知识库提供有用的信息,但只有在知识库被(重新)使用时,它才具有交换价值,而没有互操作性,实用性就处于休眠状态。

结果

在本文中,我们根据可互操作的部分讨论了几种提高互操作性的方法。这些发现是由几个实际场景示例驱动的,这些示例主要是由 Bgee 实现的,Bgee 是一个成熟的基因表达知识库。为了更好地证明这些发现具有可转移性,对于每个 Bgee 互操作性经验,我们还突出了主要生物信息学知识库的类似实现。此外,我们还讨论了十个一般的主要经验教训。这些经验教训可以应用于任何生物信息学知识库的背景下,以促进数据的可重用性。

结论

这项工作通过关注互操作性,提供了实用的方法和可转移的技能,以提高生物信息学知识库的可重用性。

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