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DC Field | Value | Language |
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dc.contributor.author | Perdikopanis, Nikos | - |
dc.contributor.author | Georgakilas, Georgios K. | - |
dc.contributor.author | Grigoriadis, Dimitris | - |
dc.contributor.author | Pierros, Vasilis | - |
dc.contributor.author | Kavakiotis, Ioannis | - |
dc.contributor.author | Alexiou, Panagiotis | - |
dc.contributor.author | Hatzigeorgiou, Artemis | - |
dc.date.accessioned | 2024-01-17T07:27:20Z | - |
dc.date.available | 2024-01-17T07:27:20Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Perdikopanis, N., Georgakilas, G. K., Grigoriadis, D., Pierros, V., Kavakiotis, I., Alexiou, P., & Hatzigeorgiou, A. (2021). DIANA-miRGen v4: indexing promoters and regulators for more than 1500 microRNAs. Nucleic Acids Research, 49(D1), D151-D159. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/117428 | - |
dc.description.abstract | Deregulation of microRNA (miRNA) expression plays a critical role in the transition from a physiological to a pathological state. The accurate miRNA promoter identification in multiple cell types is a fundamental endeavor towards understanding and characterizing the underlying mechanisms of both physiological as well as pathological conditions. DIANA-miRGen v4 (www.microrna.gr/mirgenv4) provides cell type specific miRNA transcription start sites (TSSs) for over 1500 miRNAs retrieved from the analysis of >1000 cap analysis of gene expression (CAGE) samples corresponding to 133 tissues, cell lines and primary cells available in FANTOM repository. MiRNA TSS locations were associated with transcription factor binding site (TFBSs) annotation, for >280 TFs, derived from analyzing the majority of ENCODE ChIP-Seq datasets. For the first time, clusters of cell types having common miRNA TSSs are characterized and provided through a user friendly interface with multiple layers of customization. DIANA-miRGen v4 significantly improves our understanding of miRNA biogenesis regulation at the transcriptional level by providing a unique integration of high-quality annotations for hundreds of cell specific miRNA promoters with experimentally derived TFBSs. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Oxford University Press | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | MicroRNA | en_GB |
dc.subject | Visualization | en_GB |
dc.subject | Deep learning (Machine learning) | en_GB |
dc.subject | Information storage and retrieval systems | en_GB |
dc.title | DIANA-miRGen v4 : indexing promoters and regulators for more than 1500 microRNAs | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The 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 holder | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1093/nar/gkaa1060 | - |
dc.publication.title | Nucleic Acids Research | en_GB |
Appears in Collections: | Scholarly Works - FacHScABS |
Files in This Item:
File | Description | Size | Format | |
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DIANA_miRGen_v4.pdf | 2.52 MB | Adobe PDF | View/Open |
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