Andrés-León, EduardoNúñez-Torres, RocíoRojas, Ana M2023-01-252023-01-252016-05-11http://hdl.handle.net/10668/10073Large-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.enAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/MicroRNAsRNARNA, CircularRNA, MessengerSequence Analysis, RNAresearch article27167008open access10.1038/srep257492045-2322PMC4863143https://www.nature.com/articles/srep25749.pdfhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4863143/pdf