Literature DB >> 23778453

mirTools 2.0 for non-coding RNA discovery, profiling, and functional annotation based on high-throughput sequencing.

Jinyu Wu1, Qi Liu, Xin Wang, Jiayong Zheng, Tao Wang, Mingcong You, Zhong Sheng Sun, Qinghua Shi.   

Abstract

Next-generation sequencing has been widely applied to understand the complexity of non-coding RNAs (ncRNAs) in a cost-effective way. In this study, we developed mirTools 2.0, an updated version of mirTools 1.0, which includes the following new features. (1) From miRNA discovery in mirTools 1.0, mirTools 2.0 allows users to detect and profile various types of ncRNAs, such as miRNA, tRNA, snRNA, snoRNA, rRNA, and piRNA. (2) From miRNA profiling in mirTools 1.0, mirTools 2.0 allows users to identify miRNA-targeted genes and performs detailed functional annotation of miRNA targets, including Gene Ontology, KEGG pathway and protein-protein interaction. (3) From comparison of two samples for differentially expressed miRNAs in mirTools 1.0, mirTools 2.0 allows users to detect differentially expressed ncRNAs between two experimental groups or among multiple samples. (4) Other significant improvements include strategies used to detect novel miRNAs and piRNAs, more taxonomy categories to discover more known miRNAs and a stand-alone version of mirTools 2.0. In conclusion, we believe that mirTools 2.0 (122.228.158.106/mr2_dev and centre.bioinformatics.zj.cn/mr2_dev) will provide researchers with more detailed insight into small RNA transcriptomes.

Entities:  

Keywords:  miRNA; miRNA targets; mirTools; ncRNA; next-generation sequencing; web server

Mesh:

Substances:

Year:  2013        PMID: 23778453      PMCID: PMC3849156          DOI: 10.4161/rna.25193

Source DB:  PubMed          Journal:  RNA Biol        ISSN: 1547-6286            Impact factor:   4.652


  36 in total

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6.  sRNAtoolbox: an integrated collection of small RNA research tools.

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7.  miFRame: analysis and visualization of miRNA sequencing data in neurological disorders.

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8.  Oasis: online analysis of small RNA deep sequencing data.

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10.  MicroRNA Expression Profile in Penile Cancer Revealed by Next-Generation Small RNA Sequencing.

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Journal:  PLoS One       Date:  2015-07-09       Impact factor: 3.240

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