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dc.contributor.authorAndrés-León, Eduardoes_ES
dc.contributor.authorNúñez-Torres, Rocíoes_ES
dc.contributor.authorRojas Mendoza, Ana M.es_ES
dc.date.accessioned2017-07-26T06:37:55Z-
dc.date.available2017-07-26T06:37:55Z-
dc.date.issued2016-05-11-
dc.identifier.citationScientific Reports 6: 25749 (2016)es_ES
dc.identifier.issn2045-2322-
dc.identifier.urihttp://hdl.handle.net/10261/153511-
dc.description.abstractLarge-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.es_ES
dc.description.sponsorshipE.A.-L. was funded by the European Union grant FP7-REGPOT-2012-2013-1.es_ES
dc.language.isoenges_ES
dc.publisherNature Publishing Groupes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/203953es_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rightsopenAccesses_ES
dc.titlemiARma-Seq: a comprehensive tool for miRNA, mRNA and circRNA analysises_ES
dc.typeartículoes_ES
dc.identifier.doi10.1038/srep25749-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://doi.org/10.1038/srep25749es_ES
dc.rights.licensehttp://creativecommons.org/licenses/by/4.0/es_ES
dc.contributor.funderEuropean Commissiones_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.identifier.pmid27167008-
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
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