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MiRCancerdb: A database for correlation analysis between microRNA and gene expression in cancer

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dc.contributor.authorAhmed, M.-
dc.contributor.authorNguyen, H.-
dc.contributor.authorLai, T.-
dc.contributor.authorKim, D.R.-
dc.date.accessioned2022-12-26T18:16:05Z-
dc.date.available2022-12-26T18:16:05Z-
dc.date.issued2018-02-
dc.identifier.issn1756-0500-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/13066-
dc.description.abstractObjectives: microRNAs regulate expression of target genes by specifically binding to their transcripts, subsequently leading to translational inhibition or mRNA degradation. Gene regulation by microRNAs has been implicated in a wide range of physiological and pathological conditions. Here, we leverage the use of public-access data and the available genomic annotations to pre-calculate the correlation of the expression of a large number of microRNAs with gene at the mRNA and protein level in the context of cancers. Results: Expression data of miRNAs, mRNAs and proteins in cancer patients from The Cancer Genome Atlas along with TargetScan miRNAs-target annotations were used to calculate the expression correlations between miRNAs and features (mRNAs/proteins) in a number of cancer studies. We then packed the output of this analysis into a database and made it available through an interactive web application. The miRCancerdb is an easy-to-use database to investigate the microRNAs-dependent regulation of target genes involved in development of cancer. ? 2018 The Author(s).-
dc.language영어-
dc.language.isoENG-
dc.publisherBioMed Central Ltd.-
dc.titleMiRCancerdb: A database for correlation analysis between microRNA and gene expression in cancer-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1186/s13104-018-3160-9-
dc.identifier.scopusid2-s2.0-85042526056-
dc.identifier.bibliographicCitationBMC Research Notes, v.11, no.1-
dc.citation.titleBMC Research Notes-
dc.citation.volume11-
dc.citation.number1-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorCancer-
dc.subject.keywordAuthorMicroRNA-
dc.subject.keywordAuthormiRCancerdb-
dc.subject.keywordAuthorTCGA-
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