Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/9315
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dc.contributor.authorHamzeiy, Hamid-
dc.contributor.authorSuluyayla, Rabia-
dc.contributor.authorBrinkrolf, Christoph-
dc.contributor.authorJanowski, Sebastian Jan-
dc.contributor.authorHofestaedt, Ralf-
dc.contributor.authorAllmer, Jens-
dc.date.accessioned2020-07-25T22:09:24Z-
dc.date.available2020-07-25T22:09:24Z-
dc.date.issued2017-
dc.identifier.issn1613-4516-
dc.identifier.urihttps://doi.org/10.1515/jib-2016-0004-
dc.identifier.urihttps://hdl.handle.net/11147/9315-
dc.description.abstractMicroRNAs (miRNAs) are small RNA molecules which are known to take part in post-transcriptional regulation of gene expression. Here, VANESA, an existing platform for reconstructing, visualizing, and analysis of large biological networks, has been further expanded to include all experimentally validated human miRNAs available within miRBase, TarBase and miRTarBase. This is done by integrating a custom hybrid miRNA database to DAWIS-M.D., VANESA's main data source, enabling the visualization and analysis of miRNAs within large biological pathways such as those found within the Kyoto Encyclopedia of Genes and Genomes (KEGG). Interestingly, 99.15 % of human KEGG pathways either contain genes which are targeted by miRNAs or harbor them. This is mainly due to the high number of interaction partners that each miRNA could have (e.g.: hsa-miR-335-5p targets 2544 genes and 71 miRNAs target NUFIP2). We demonstrate the usability of our system by analyzing the measles virus KEGG pathway as a proof-of-principle model and further highlight the importance of integrating miRNAs (both experimentally validated and predicted) into biological networks for the elucidation of novel miRNA-mRNA interactions of biological importance.en_US
dc.language.isoenen_US
dc.publisherWalter de Gruyter GmbHen_US
dc.relation.ispartofJournal of Integrative Bioinformaticsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectVANESAen_US
dc.subjectMicroRNAsen_US
dc.subjectKEGG pathwayen_US
dc.subjectTarget databaseen_US
dc.titleVisualization and analysis of MicroRNAs within KEGG pathways using VANESAen_US
dc.typeArticleen_US
dc.institutionauthorSuluyayla, Rabia-
dc.institutionauthorAllmer, Jens-
dc.departmentİzmir Institute of Technology. Molecular Biology and Geneticsen_US
dc.identifier.volume14en_US
dc.identifier.issue1en_US
dc.identifier.wosWOS:000406930500003en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1515/jib-2016-0004-
dc.identifier.pmid28609293en_US
dc.relation.doi10.1515/jib-2016-0004en_US
dc.coverage.doi10.1515/jib-2016-0004en_US
dc.identifier.scopusqualityQ3-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.languageiso639-1en-
crisitem.author.dept04.03. Department of Molecular Biology and Genetics-
Appears in Collections:Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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