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Non-Coding RNA 2017, 3(1), 2;

Computational Approaches to tRNA-Derived Small RNAs

Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
Authors to whom correspondence should be addressed.
Academic Editor: George A. Calin
Received: 23 November 2016 / Revised: 21 December 2016 / Accepted: 26 December 2016 / Published: 4 January 2017
(This article belongs to the Special Issue Bioinformatics Softwares and Databases for Non-Coding RNA Research)
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tRNA-derived small RNAs (tDRs) are a group of small, non-coding RNAs derived from transfer RNAs (tRNAs). They can be classified as tRNA halves and tRNA-derived small RNA fragments (tRFs). Accumulating experimental evidence suggests their functional roles in cells and in various biological processes. Advances in next-generation sequencing (NGS) techniques allow a large amount of small RNA deep-sequencing data to be generated. To investigate tDRs from these data, software to identify tDRs and databases to retrieve or manage tDR data have been devised. In this review, we summarized the tools and databases for tDR identification and collection, with the aim of helping researchers choose the best tools for their analysis and inspiring the invention or improvement of tools in the field. View Full-Text
Keywords: next-generation sequencing; tRNA-derived small RNA; tRNA halves; tRNA-derived small RNA fragments; identification; database next-generation sequencing; tRNA-derived small RNA; tRNA halves; tRNA-derived small RNA fragments; identification; database

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Xu, W.-L.; Yang, Y.; Wang, Y.-D.; Qu, L.-H.; Zheng, L.-L. Computational Approaches to tRNA-Derived Small RNAs. Non-Coding RNA 2017, 3, 2.

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