Recommendations for Bioinformatic Tools in LncRNA Research

IF 2.4 3区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS Current Bioinformatics Pub Date : 2023-07-07 DOI:10.2174/1574893618666230707103956
S. Uchida, Rebecca Distefano, Mirolyuba Ilieva, Sarah Rennie
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引用次数: 0

Abstract

Long non-coding RNAs (lncRNAs) typically refer to non-protein coding RNAs that are longer than 200 nucleotides. Historically dismissed as junk DNA, over two decades of research have revealed that lncRNAs bind to other macromolecules (e.g., DNA, RNA, and/or proteins) to modulate signaling pathways and maintain organism viability. Their discovery has been significantly aided by the development of bioinformatics tools in recent years. However, the diversity of tools for lncRNA discovery and functional prediction can confuse researchers, especially bench scientists and clinicians. This Perspective article aims to navigate the current landscape of bioinformatic tools suitable for both protein-coding and lncRNA genes. It aims to provide a guide for bench scientists and clinicians to select the appropriate tools for their research questions and experimental designs.
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LncRNA研究中的生物信息学工具建议
长非编码RNA(lncRNA)通常指长度超过200个核苷酸的非蛋白质编码RNA。从历史上看,lncRNA被认为是垃圾DNA,二十多年的研究表明,lncRNAs与其他大分子(如DNA、RNA和/或蛋白质)结合,以调节信号通路并维持生物体的生存能力。近年来,生物信息学工具的发展极大地帮助了他们的发现。然而,lncRNA发现和功能预测工具的多样性可能会让研究人员感到困惑,尤其是实验室科学家和临床医生。这篇透视文章旨在浏览适用于蛋白质编码和lncRNA基因的生物信息学工具的现状。它旨在为实验室科学家和临床医生提供一个指南,为他们的研究问题和实验设计选择合适的工具。
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来源期刊
Current Bioinformatics
Current Bioinformatics 生物-生化研究方法
CiteScore
6.60
自引率
2.50%
发文量
77
审稿时长
>12 weeks
期刊介绍: Current Bioinformatics aims to publish all the latest and outstanding developments in bioinformatics. Each issue contains a series of timely, in-depth/mini-reviews, research papers and guest edited thematic issues written by leaders in the field, covering a wide range of the integration of biology with computer and information science. The journal focuses on advances in computational molecular/structural biology, encompassing areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering. Developments in these fields have direct implications on key issues related to health care, medicine, genetic disorders, development of agricultural products, renewable energy, environmental protection, etc.
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