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植物小 RNA 检测和分类的计算工具。

Computational tools for plant small RNA detection and categorization.

出版信息

Brief Bioinform. 2019 Jul 19;20(4):1181-1192. doi: 10.1093/bib/bbx136.

Abstract

Small RNAs (sRNAs) are important short-length molecules with regulatory functions essential for plant development and plasticity. High-throughput sequencing of total sRNA populations has revealed that the largest share of sRNA remains uncategorized. To better understand the role of sRNA-mediated cellular regulation, it is necessary to create accurate and comprehensive catalogues of sRNA and their sequence features, a task that currently relies on nontrivial bioinformatic approaches. Although a large number of computational tools have been developed to predict features of sRNA sequences, these tools are mostly dedicated to microRNAs and none integrates the functionalities necessary to describe units from all sRNA pathways thus far discovered in plants. Here, we review the different classes of sRNA found in plants and describe available bioinformatics tools that can help in their detection and categorization.

摘要

小 RNA(sRNA)是具有重要调节功能的短链分子,对于植物的发育和可塑性至关重要。对总 sRNA 群体的高通量测序表明,最大份额的 sRNA 仍未被分类。为了更好地理解 sRNA 介导的细胞调节作用,有必要创建 sRNA 及其序列特征的准确和全面目录,这一任务目前依赖于复杂的生物信息学方法。尽管已经开发了大量用于预测 sRNA 序列特征的计算工具,但这些工具大多专门用于 microRNAs,并且没有一个工具集成了迄今为止在植物中发现的所有 sRNA 途径所需的功能来描述各个单元。在这里,我们回顾了在植物中发现的不同种类的 sRNA,并描述了可用的生物信息学工具,可以帮助它们的检测和分类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcb1/6781577/ad0c381a1387/bbx136f1.jpg

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