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Effective computational detection of piRNAs using n-gram models and support vector machine

机译：使用n-gram模型和支持向量机对piRNA进行有效的计算检测

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BackgroundPiwi-interacting RNAs (piRNAs) are a new class of small non-coding RNAs that are known to be associated with RNA silencing. The piRNAs play an important role in protecting the genome from invasive transposons in the germline. Recent studies have shown that piRNAs are linked to the genome stability and a variety of human cancers. Due to their clinical importance, there is a pressing need for effective computational methods that can be used for computational identification of piRNAs. However, piRNAs lack conserved structural motifs and show relatively low sequence similarity across different species, which makes accurate computational prediction of piRNAs challenging.

机译：背景Piwi相互作用RNA（piRNA）是一类新的小型非编码RNA，已知与RNA沉默相关。 piRNA在保护基因组免受种系中的侵入性转座子方面发挥重要作用。最近的研究表明，piRNA与基因组稳定性和多种人类癌症有关。由于其临床重要性，迫切需要可用于piRNA的计算鉴定的有效计算方法。但是，piRNA缺乏保守的结构基序，并且在不同物种之间显示出相对较低的序列相似性，这使得piRNA的准确计算预测具有挑战性。

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期刊名称 BMC Bioinformatics
作者
Chun-Chi Chen; Xiaoning Qian; Byung-Jun Yoon;
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作者单位

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年(卷),期 2017(18),Suppl 14
年度 2017
页码 517
总页数 7
原文格式 PDF
正文语种
中图分类应用微生物学;生化遗传学;生化药理学;
关键词
piwi-interacting RNA (piRNA) piRNA prediction n-gram model (NGM) Support vector machine (SVM);

机译：piwi相互作用RNA（piRNA）;piRNA预测;n元语法模型（NGM）;支持向量机（SVM）;

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1. Effective computational detection of piRNAs using n-gram models and support vector machine [J] . Chun-Chi Chen, Xiaoning Qian, Byung-Jun Yoon BMC Bioinformatics . 2017,第14期

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Effective computational detection of piRNAs using n-gram models and support vector machine

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