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Computational Approaches to tRNA-Derived Small RNAs

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....

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Autores principales: Xu, Wei-Lin, Yang, Ye, Wang, Yi-Dan, Qu, Liang-Hu, Zheng, Ling-Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5832003/
https://www.ncbi.nlm.nih.gov/pubmed/29657274
http://dx.doi.org/10.3390/ncrna3010002
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author Xu, Wei-Lin
Yang, Ye
Wang, Yi-Dan
Qu, Liang-Hu
Zheng, Ling-Ling
author_facet Xu, Wei-Lin
Yang, Ye
Wang, Yi-Dan
Qu, Liang-Hu
Zheng, Ling-Ling
author_sort Xu, Wei-Lin
collection PubMed
description 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.
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spelling pubmed-58320032018-04-12 Computational Approaches to tRNA-Derived Small RNAs Xu, Wei-Lin Yang, Ye Wang, Yi-Dan Qu, Liang-Hu Zheng, Ling-Ling Noncoding RNA Review 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. MDPI 2017-01-04 /pmc/articles/PMC5832003/ /pubmed/29657274 http://dx.doi.org/10.3390/ncrna3010002 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Xu, Wei-Lin
Yang, Ye
Wang, Yi-Dan
Qu, Liang-Hu
Zheng, Ling-Ling
Computational Approaches to tRNA-Derived Small RNAs
title Computational Approaches to tRNA-Derived Small RNAs
title_full Computational Approaches to tRNA-Derived Small RNAs
title_fullStr Computational Approaches to tRNA-Derived Small RNAs
title_full_unstemmed Computational Approaches to tRNA-Derived Small RNAs
title_short Computational Approaches to tRNA-Derived Small RNAs
title_sort computational approaches to trna-derived small rnas
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5832003/
https://www.ncbi.nlm.nih.gov/pubmed/29657274
http://dx.doi.org/10.3390/ncrna3010002
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