miARma-Seq: a comprehensive tool for miRNA, mRNA and circRNA analysis

被引:113
作者
Andres-Leon, Eduardo [1 ,2 ]
Nunez-Torres, Rocio [1 ,3 ,4 ]
Rojas, Ana M. [1 ]
机构
[1] Univ Seville, CSIC,Inst Biomed Sevilla IBIS, Hosp Univ Virgen del Rocio, Computat Biol & Bioinformat Grp, Seville, Spain
[2] CSIC, IPBLN, Bioinformat Unit, Pts Granada, Spain
[3] Hosp Univ Valme, Inst Biomed Sevilla IBIS, Unidad Enfermedades Infecciosas, Seville, Spain
[4] Hosp Univ Valme, Inst Biomed Sevilla IBIS, Microbiol Clin, Seville, Spain
关键词
ANALYSIS PIPELINE; GENE-EXPRESSION; DIFFERENTIAL EXPRESSION; TRANSCRIPTOME ANALYSIS; INTEGRATED ANALYSIS; MICRORNA TARGETS; SEQUENCING DATA; READ ALIGNMENT; CIRCULAR RNAS; EFFICIENT;
D O I
10.1038/srep25749
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
Large-scale RNAseq has substantially changed the transcriptomics field, as it enables an unprecedented amount of high resolution data to be acquired. However, the analysis of these data still poses a challenge to the research community. Many tools have been developed to overcome this problem, and to facilitate the study of miRNA expression profiles and those of their target genes. While a few of these enable both kinds of analysis to be performed, they also present certain limitations in terms of their requirements and/or the restrictions on data uploading. To avoid these restraints, we have developed a suite that offers the identification of miRNA, mRNA and circRNAs that can be applied to any sequenced organism. Additionally, it enables differential expression, miRNA-mRNA target prediction and/or functional analysis. The miARma-Seq pipeline is presented as a stand-alone tool that is both easy to install and flexible in terms of its use, and that brings together well-established software in a single bundle. Our suite can analyze a large number of samples due to its multithread design. By testing miARma-Seq in validated datasets, we demonstrate here the benefits that can be gained from this tool by making it readily accessible to the research community.
引用
收藏
页数:7
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