A Review of Computational Tools in microRNA Discovery.
A Review of Computational Tools in microRNA Discovery.
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DOI：
10.3389/fgene.2013.00081
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发表时间：
2013
影响因子：
3.7
通讯作者：
Wang K
中科院分区：
文献类型：
--
作者：
Gomes CP;Cho JH;Hood L;Franco OL;Pereira RW;Wang K
自microRNA（miRNAs）被发现以来，其对多种生物活性的调控一直是一个令人惊奇和兴奋的领域。了解这些小分子的全部功能是更好地了解其功能的第一步。近年来，高通量发现工具如下一代测序显著增加了不同生物体中已知miRNA的数量。然而，能够准确识别miRNA的过程仍然是一项复杂而困难的任务，需要将实验方法与计算方法相结合。已经开发了许多基于miRNA分子特征的预测算法来鉴定新的miRNA种类。不同的方法都有一定的优点和缺点，在本文中，我们旨在总结多细胞动物miRNA发现中常用的几种工具。
Since microRNAs (miRNAs) were discovered, their impact on regulating various biological activities has been a surprising and exciting field. Knowing the entire repertoire of these small molecules is the first step to gain a better understanding of their function. High throughput discovery tools such as next-generation sequencing significantly increased the number of known miRNAs in different organisms in recent years. However, the process of being able to accurately identify miRNAs is still a complex and difficult task, requiring the integration of experimental approaches with computational methods. A number of prediction algorithms based on characteristics of miRNA molecules have been developed to identify new miRNA species. Different approaches have certain strengths and weaknesses and in this review, we aim to summarize several commonly used tools in metazoan miRNA discovery.