The Evidence and Conclusion Ontology (ECO): Supporting GO Annotations.
The Evidence and Conclusion Ontology (ECO): Supporting GO Annotations.
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DOI：
10.1007/978-1-4939-3743-1_18
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Giglio M
中科院分区：
文献类型：
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作者：
Chibucos MC;Siegele DA;Hu JC;Giglio M
证据本体 (ECO) 是一种社区资源，用于描述科学研究过程中生成的各种类型的证据，通常用于支持研究人员的主张。 ECO 描述了多种证据类型，包括实验（即湿实验室）技术产生的证据、计算方法产生的证据、作者所做的陈述（无论是否有证据支持）以及整理文献的研究人员得出的推论。除了总结支持特定断言的证据之外，ECO 还提供了一种方法来记录是计算机还是人类执行了注释过程。将 ECO 纳入注释系统可以利用本体的结构，从而可以对相关数据进行分层分组，用户可以选择与特定证据类型相关的数据，并且可以优化质量控制流程。如今，包括基因本体在内的 30 多种资源都使用证据本体来表示证据以及注释的制作方式。
The Evidence Ontology (ECO) is a community resource for describing the various types of evidence that are generated during the course of a scientific study, and which are typically used to support assertions made by researchers. ECO describes multiple evidence types, including evidence resulting from experimental (i.e. wet lab) techniques, evidence arising from computational methods, statements made by authors (whether or not supported by evidence), and inferences drawn by researchers curating the literature. In addition to summarizing the evidence that supports a particular assertion, ECO also offers a means to document whether a computer or human performed the process of making the annotation. Incorporating ECO into an annotation system makes it possible to leverage the structure of the ontology such that associated data can be grouped hierarchically, users can select data associated with particular evidence types, and quality control pipelines can be optimized. Today, over 30 resources, including the Gene Ontology, use the Evidence Ontology to represent both evidence and how annotations are made.