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Computational Methods and Software Tools for Functional Analysis of miRNA Data

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dc.contributor.authorGarcia-Moreno, Adrian
dc.contributor.authorCarmona-Saez, Pedro
dc.contributor.authoraffiliation[Garcia-Moreno,A; Carmona-Saez,P] Bioinformatics Unit, Centre for Genomics and Oncological Research (GENyO) - Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, Granada, Spain. [Carmona-Saez,P] Department of Statistics, University of Granada, Granada, Spain.
dc.contributor.funderThis work was partially supported by the Junta de Andalucía through grants PI-0173-2017 and CV20.36723.
dc.date.accessioned2022-07-22T08:00:41Z
dc.date.available2022-07-22T08:00:41Z
dc.date.issued2020-08-28
dc.description.abstractmiRNAs are important regulators of gene expression that play a key role in many biological processes. High-throughput techniques allow researchers to discover and characterize large sets of miRNAs, and enrichment analysis tools are becoming increasingly important in decoding which miRNAs are implicated in biological processes. Enrichment analysis of miRNA targets is the standard technique for functional analysis, but this approach carries limitations and bias; alternatives are currently being proposed, based on direct and curated annotations. In this review, we describe the two workflows of miRNAs enrichment analysis, based on target gene or miRNA annotations, highlighting statistical tests, software tools, up-to-date databases, and functional annotations resources in the study of metazoan miRNAs.es_ES
dc.description.versionYeses_ES
dc.identifier.citationGarcia-Moreno A, Carmona-Saez P. Computational Methods and Software Tools for Functional Analysis of miRNA Data. Biomolecules. 2020 Aug 28;10(9):1252es_ES
dc.identifier.doi10.3390/biom10091252es_ES
dc.identifier.essn2218-273X
dc.identifier.pmcPMC7563698
dc.identifier.pmid32872205es_ES
dc.identifier.urihttp://hdl.handle.net/10668/3812
dc.journal.titleBiomolecules
dc.language.isoen
dc.page.number16 p.
dc.publisherMDPIes_ES
dc.relation.publisherversionhttps://www.mdpi.com/2218-273X/10/9/1252/htmes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.accessRightsAcceso abiertoes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectFunctional analysises_ES
dc.subjectMiRNAes_ES
dc.subjectNcRNAes_ES
dc.subjectDatabaseses_ES
dc.subjectEnrichmentes_ES
dc.subjectToolses_ES
dc.subjectMicroARNses_ES
dc.subjectARN largo no codificantees_ES
dc.subjectBases de datos genéticases_ES
dc.subjectProgramas informáticoses_ES
dc.subject.meshMedical Subject Headings::Organisms::Eukaryota::Animalses_ES
dc.subject.meshMedical Subject Headings::Disciplines and Occupations::Natural Science Disciplines::Biological Science Disciplines::Biology::Computational Biologyes_ES
dc.subject.meshMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Data Interpretation, Statisticales_ES
dc.subject.meshMedical Subject Headings::Information Science::Information Science::Medical Informatics::Medical Informatics Applications::Information Systems::Databases as Topic::Databases, Factual::Databases, Genetices_ES
dc.subject.meshMedical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humanses_ES
dc.subject.meshMedical Subject Headings::Chemicals and Drugs::Nucleic Acids, Nucleotides, and Nucleosides::Antisense Elements (Genetics)::RNA, Antisense::MicroRNAses_ES
dc.subject.meshMedical Subject Headings::Information Science::Information Science::Information Services::Documentation::Molecular Sequence Data::Molecular Sequence Annotationes_ES
dc.subject.meshMedical Subject Headings::Information Science::Information Science::Computing Methodologies::Softwarees_ES
dc.titleComputational Methods and Software Tools for Functional Analysis of miRNA Dataes_ES
dc.typereview article
dc.type.hasVersionVoR
dspace.entity.typePublication

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