The development of non-coding RNA ontology

IF 0.2 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Jingshan Huang, K. Eilbeck, Barry Smith, J. Blake, D. Dou, Weili Huang, D. Natale, A. Ruttenberg, Jun Huan, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison J. Strachan, Nisansa de Silva, M. V. Kasukurthi, V. Jha, Y. He, Shaojie Zhang, Xiaowei Wang, Zixing Liu, G. Borchert, M. Tan
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引用次数: 11

Abstract

Identification of non-coding RNAs (ncRNAs) has been significantly improved over the past decade. On the other hand, semantic annotation of ncRNA data is facing critical challenges due to the lack of a comprehensive ontology to serve as common data elements and data exchange standards in the field. We developed the Non-Coding RNA Ontology (NCRO) to handle this situation. By providing a formally defined ncRNA controlled vocabulary, the NCRO aims to fill a specific and highly needed niche in semantic annotation of large amounts of ncRNA biological and clinical data.
非编码RNA本体的发展
在过去的十年中,非编码rna (ncRNAs)的鉴定有了显著的改进。另一方面,由于缺乏一个全面的本体作为该领域的通用数据元素和数据交换标准,ncRNA数据的语义标注面临着严峻的挑战。我们开发了非编码RNA本体(NCRO)来处理这种情况。通过提供正式定义的ncRNA控制词汇表,NCRO旨在填补大量ncRNA生物学和临床数据的语义注释中特定且急需的空缺。
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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来源期刊
CiteScore
1.00
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Mining bioinformatics data is an emerging area at the intersection between bioinformatics and data mining. The objective of IJDMB is to facilitate collaboration between data mining researchers and bioinformaticians by presenting cutting edge research topics and methodologies in the area of data mining for bioinformatics. This perspective acknowledges the inter-disciplinary nature of research in data mining and bioinformatics and provides a unified forum for researchers/practitioners/students/policy makers to share the latest research and developments in this fast growing multi-disciplinary research area.
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