Εμφάνιση απλής εγγραφής

dc.creatorKavakiotis I., Alexiou A., Tastsoglou S., Vlachos I.S., Hatzigeorgiou A.G.en
dc.date.accessioned2023-01-31T08:34:17Z
dc.date.available2023-01-31T08:34:17Z
dc.date.issued2022
dc.identifier10.1093/nar/gkab733
dc.identifier.issn03051048
dc.identifier.urihttp://hdl.handle.net/11615/74685
dc.description.abstractmicroRNAs (miRNAs) are short (∼23nt) single-stranded non-coding RNAs that act as potent post-transcriptional gene expression regulators. Information about miRNA expression and distribution across cell types and tissues is crucial to the understanding of their function and for their translational use as biomarkers or therapeutic targets. DIANA-miTED is the most comprehensive and systematic collection of miRNA expression values derived from the analysis of 15 183 raw human small RNA-Seq (sRNA-Seq) datasets from the Sequence Read Archive (SRA) and The Cancer Genome Atlas (TCGA). Metadata quality maximizes the utility of expression atlases, therefore we manually curated SRA and TCGA-derived information to deliver a comprehensive and standardized set, incorporating in total 199 tissues, 82 anatomical sublocations, 267 cell lines and 261 diseases. miTED offers rich instant visualizations of the expression and sample distributions of requested data across variables, as well as study-wide diagrams and graphs enabling efficient content exploration. Queries also generate links towards state-of-the-art miRNA functional resources, deeming miTED an ideal starting point for expression retrieval, exploration, comparison, and downstream analysis, without requiring bioinformatics support or expertise. DIANA-miTED is freely available at http://www.microrna.gr/mited. © 2022 The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.en
dc.language.isoenen
dc.sourceNucleic Acids Researchen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85123387705&doi=10.1093%2fnar%2fgkab733&partnerID=40&md5=83c1a78c52425bdb0666a6d69cbfa94d
dc.subjectmicroRNAen
dc.subjectmicroRNAen
dc.subjecttranscriptomeen
dc.subjectArticleen
dc.subjectbioinformaticsen
dc.subjectcancer genome atlasen
dc.subjectdashr2en
dc.subjectdata baseen
dc.subjectdeepbase v3 0en
dc.subjectdiana miteden
dc.subjectgenderen
dc.subjectgene expressionen
dc.subjectgene expression profilingen
dc.subjecthigh throughput analysisen
dc.subjecthmeden
dc.subjecthumanen
dc.subjectinformation processingen
dc.subjectinformation retrievalen
dc.subjectmetadataen
dc.subjectmirmineen
dc.subjectRNA sequencingen
dc.subjectseaweben
dc.subjectym500v3en
dc.subjectbinding siteen
dc.subjectclassificationen
dc.subjectgene expression regulationen
dc.subjectgenetic databaseen
dc.subjectgeneticsen
dc.subjectgenomeen
dc.subjectnucleic acid databaseen
dc.subjectsoftwareen
dc.subjecttissue distributionen
dc.subjectBinding Sitesen
dc.subjectDatabases, Geneticen
dc.subjectDatabases, Nucleic Aciden
dc.subjectGene Expression Regulationen
dc.subjectGenomeen
dc.subjectHumansen
dc.subjectMicroRNAsen
dc.subjectSoftwareen
dc.subjectTissue Distributionen
dc.subjectTranscriptomeen
dc.subjectOxford University Pressen
dc.titleDIANA-miTED: A microRNA tissue expression databaseen
dc.typejournalArticleen


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