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Secondary structure-based analysis of mouse brain small RNA sequences obtained by using next-generation sequencing

机译:基于二级结构的小鼠大脑小RNA序列的下一代测序分析

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In order to find novel structured small RNAs, next-generation sequencing was applied to small RNA fractions with lengths ranging from 40 to 140 nt and secondary structure-based clustering was performed. Sequences of structured RNAs were effectively clustered and analyzed by secondary structure. Although more than 99% of the obtained sequences were known RNAs, 16 candidate mouse structured small non-coding RNAs (Msncrts) were isolated. Based on these results, the merits of secondary structure-based analysis are discussed. (C) 2015 Elsevier Inc. All rights reserved.
机译:为了找到新颖的结构化小RNA,将下一代测序技术应用于长度在40到140 nt之间的小RNA片段,并进行基于二级结构的聚类。结构化的RNA序列可以有效地聚类,并通过二级结构进行分析。尽管获得的序列中超过99%是已知的RNA,但仍分离了16种候选小鼠结构的小非编码RNA(Msncrts)。基于这些结果,讨论了基于二级结构的分析的优点。 (C)2015 Elsevier Inc.保留所有权利。

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