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dc.contributor.authorMaragkakis, Manolis-
dc.contributor.authorVergoulis, Thanasis-
dc.contributor.authorAlexiou, Panagiotis-
dc.contributor.authorReczko, Martin-
dc.contributor.authorPlomaritou, Kyriaki-
dc.contributor.authorGousis, Mixail-
dc.contributor.authorKourtis, Kornilios-
dc.contributor.authorKoziris, Nectarios-
dc.contributor.authorDalamagas, Theodore-
dc.contributor.authorHatzigeorgiou, Artemis G.-
dc.date.accessioned2024-01-24T06:54:30Z-
dc.date.available2024-01-24T06:54:30Z-
dc.date.issued2011-
dc.identifier.citationMaragkakis, M., Vergoulis, T., Alexiou, P., Reczko, M., Plomaritou, K., Gousis, M., ... & Hatzigeorgiou, A. G. (2011). DIANA-microT Web server upgrade supports Fly and Worm miRNA target prediction and bibliographic miRNA to disease association. Nucleic acids research, 39(suppl_2), W145-W148.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/117788-
dc.description.abstractmicroRNAs (miRNAs) are small endogenous RNA molecules that are implicated in many biological processes through post-transcriptional regulation of gene expression. The DIANA-microT Web server provides a user-friendly interface for comprehensive computational analysis of miRNA targets in human and mouse. The server has now been extended to support predictions for two widely studied species: Drosophila melanogaster and Caenorhabditis elegans . In the updated version, the Web server enables the association of miRNAs to diseases through bibliographic analysis and provides insights for the potential involvement of miRNAs in biological processes. The nomenclature used to describe mature miRNAs along different miRBase versions has been extensively analyzed, and the naming history of each miRNA has been extracted. This enables the identification of miRNA publications regardless of possible nomenclature changes. User interaction has been further refined allowing users to save results that they wish to analyze further. A connection to the UCSC genome browser is now provided, enabling users to easily preview predicted binding sites in comparison to a wide array of genomic tracks, such as single nucleotide polymorphisms. The Web server is publicly accessible in www.microrna.gr/microT-v4 .en_GB
dc.language.isoenen_GB
dc.publisherOxford University Pressen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectMicroRNAen_GB
dc.subjectDeep learning (Machine learning)en_GB
dc.subjectInformation storage and retrieval systemsen_GB
dc.titleDIANA-microT Web server upgrade supports Fly and Worm miRNA target prediction and bibliographic miRNA to disease associationen_GB
dc.typearticleen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1093/nar/gkr294-
dc.publication.titleNucleic acids researchen_GB
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