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Usage of cell nomenclature in biomedical literature

机译:细胞命名法在生物医学文献中的使用

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摘要

BackgroundudCell lines and cell types are extensively studied in biomedical research yielding to a significant amount of publications each year. Identifying cell lines and cell types precisely in publications is crucial for science reproducibility and knowledge integration. There are efforts for standardisation of the cell nomenclature based on ontology development to support FAIR principles of the cell knowledge. However, it is important to analyse the usage of cell nomenclature in publications at a large scale for understanding the level of uptake of cell nomenclature in literature by scientists. In this study, we analyse the usage of cell nomenclature, both in Vivo, and in Vitro in biomedical literature by using text mining methods and present our results.udResultsudWe identified 59% of the cell type classes in the Cell Ontology and 13% of the cell line classes in the Cell Line Ontology in the literature. Our analysis showed that cell line nomenclature is much more ambiguous compared to the cell type nomenclature. However, trends indicate that standardised nomenclature for cell lines and cell types are being increasingly used in publications by the scientists.udConclusionsudOur findings provide an insight to understand how experimental cells are described in publications and may allow for an improved standardisation of cell type and cell line nomenclature as well as can be utilised to develop efficient text mining applications on cell types and cell lines. All data generated in this study is available at https://github.com/shenay/CellNomenclatureStudy.
机译:背景 udCell系和细胞类型在生物医学研究中得到了广泛的研究,每年产生大量出版物。准确识别出版物中的细胞系和细胞类型对于科学再现性和知识整合至关重要。基于本体论发展,正在努力标准化细胞命名法以支持细胞知识的FAIR原理。然而,重要的是分析出版物中细胞命名法的使用,以了解科学家对文献中细胞命名法的吸收水平。在这项研究中,我们使用文本挖掘方法分析了生物医学文献中体内和体外细胞命名法的使用情况,并提出了我们的结果。 udResults ud我们在Cell Ontology中确定了59%的细胞类型类别,并确定了13种文献中《细胞系本体论》中细胞系类别的百分比。我们的分析表明,与细胞类型命名法相比,细胞系命名法更加模糊。但是,趋势表明科学家在出版物中越来越多地使用细胞系和细胞类型的标准化命名法。 ud结论 ud我们的发现为理解出版物中描述实验细胞的方式提供了见识,并可能有助于改进细胞类型的标准化以及单元格名称,以及可用于开发有关单元格类型和单元格的高效文本挖掘应用程序。这项研究中生成的所有数据都可以在https://github.com/shenay/CellNomenclatureStudy上获得。

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