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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\u2019s 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 <jats:italic>NUFIP2<\/jats:italic>). 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.<\/jats:p>","DOI":"10.1515\/jib-2016-0004","type":"journal-article","created":{"date-parts":[[2017,6,13]],"date-time":"2017-06-13T10:01:32Z","timestamp":1497348092000},"source":"Crossref","is-referenced-by-count":15,"title":["Visualization and Analysis of MicroRNAs within KEGG Pathways using VANESA"],"prefix":"10.1515","volume":"14","author":[{"given":"Hamid","family":"Hamzeiy","sequence":"first","affiliation":[{"name":"NDAL, Bogazici University , Faculty of Science, Department of Molecular Biology and Genetics , 34342 Istanbul , Turkey"}]},{"given":"Rabia","family":"Suluyayla","sequence":"additional","affiliation":[{"name":"Izmir Institute of Technology, Faculty of Science, Department of Molecular Biology and Genetics , 35430 Urla , Izmir , Turkey"}]},{"given":"Christoph","family":"Brinkrolf","sequence":"additional","affiliation":[{"name":"Bielefeld University , Faculty of Technology, Department of Bioinformatics and Medical Informatics , D-33501 Bielefeld , Germany"}]},{"given":"Sebastian Jan","family":"Janowski","sequence":"additional","affiliation":[{"name":"Bielefeld University , Faculty of Technology, Department of Bioinformatics and Medical Informatics , D-33501 Bielefeld , Germany"}]},{"given":"Ralf","family":"Hofestaedt","sequence":"additional","affiliation":[{"name":"Bielefeld University , Faculty of Technology, Department of Bioinformatics and Medical Informatics , D-33501 Bielefeld , Germany"}]},{"given":"Jens","family":"Allmer","sequence":"additional","affiliation":[{"name":"Izmir Institute of Technology, Faculty of Science, Department of Molecular Biology and Genetics , 35430 Urla , Izmir , Turkey"}]}],"member":"374","published-online":{"date-parts":[[2017,6,13]]},"reference":[{"key":"2023033120195119602_j_jib-2016-0004_ref_001_w2aab3b7c10b1b6b1ab2b2aAa","doi-asserted-by":"crossref","unstructured":"Place RF, Li L-C, Pookot D, Noonan EJ, Dahiya R. 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