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dc.contributor.authorReczko, Martin-
dc.contributor.authorMaragkakis, Manolis-
dc.contributor.authorAlexiou, Panagiotis-
dc.contributor.authorGrosse, Ivo-
dc.contributor.authorHatzigeorgiou, Artemis G.-
dc.date.accessioned2024-01-24T06:31:46Z-
dc.date.available2024-01-24T06:31:46Z-
dc.date.issued2012-
dc.identifier.citationReczko, M., Maragkakis, M., Alexiou, P., Grosse, I., & Hatzigeorgiou, A. G. (2012). Functional microRNA targets in protein coding sequences. Bioinformatics, 28(6), 771-776.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/117785-
dc.description.abstractMotivation: Experimental evidence has accumulated showing that microRNA (miRNA) binding sites within protein coding sequences (CDSs) are functional in controlling gene expression. Results: Here we report a computational analysis of such miRNA target sites, based on features extracted from existing mammalian high-throughput immunoprecipitation and sequencing data. The analysis is performed independently for the CDS and the 3′-untranslated regions (3′-UTRs) and reveals different sets of features and models for the two regions. The two models are combined into a novel computational model for miRNA target genes, DIANA-microT-CDS, which achieves higher sensitivity compared with other popular programs and the model that uses only the 3′-UTR target sites. Further analysis indicates that genes with shorter 3′-UTRs are preferentially targeted in the CDS, suggesting that evolutionary selection might favor additional sites on the CDS in cases where there is restricted space on the 3′-UTR.en_GB
dc.language.isoenen_GB
dc.publisherOxford University Pressen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectMicroRNAen_GB
dc.subjectNon-coding RNAen_GB
dc.subjectDeep learning (Machine learning)en_GB
dc.subjectRNA-protein interactionsen_GB
dc.titleFunctional microRNA targets in protein coding sequencesen_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/bioinformatics/bts043-
dc.publication.titleBioinformaticsen_GB
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