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DC Field | Value | Language |
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dc.contributor.author | Vergoulis, Thanasis | - |
dc.contributor.author | Vlachos, Ioannis S. | - |
dc.contributor.author | Alexiou, Panagiotis | - |
dc.contributor.author | Georgakilas, George | - |
dc.contributor.author | Maragkakis, Manolis | - |
dc.contributor.author | Reczko, Martin | - |
dc.contributor.author | Gerangelos, Stefanos | - |
dc.contributor.author | Koziris, Nectarios | - |
dc.contributor.author | Dalamagas, Theodore | - |
dc.contributor.author | Hatzigeorgiou, Artemis G. | - |
dc.date.accessioned | 2024-01-24T06:46:48Z | - |
dc.date.available | 2024-01-24T06:46:48Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | Vergoulis, T., Vlachos, I. S., Alexiou, P., Georgakilas, G., Maragkakis, M., Reczko, M.,...Hatzigeorgiou, A. G. (2012). TarBase 6.0: capturing the exponential growth of miRNA targets with experimental support. Nucleic acids research, 40(D1), D222-D229. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/117787 | - |
dc.description.abstract | As the relevant literature and the number of experiments increase at a super linear rate, databases that curate and collect experimentally verified microRNA (miRNA) targets have gradually emerged. These databases attempt to provide efficient access to this wealth of experimental data, which is scattered in thousands of manuscripts. Aim of TarBase 6.0 (http://www.microrna.gr/tarbase) is to face this challenge by providing a significant increase of available miRNA targets derived from all contemporary experimental techniques (gene specific and high-throughput), while incorporating a powerful set of tools in a user-friendly interface. TarBase 6.0 hosts detailed information for each miRNA–gene interaction, ranging from miRNA- and gene-related facts to information specific to their interaction, the experimental validation methodologies and their outcomes. All database entries are enriched with function-related data, as well as general information derived from external databases such as UniProt, Ensembl and RefSeq. DIANA microT miRNA target prediction scores and the relevant prediction details are available for each interaction. TarBase 6.0 hosts the largest collection of manually curated experimentally validated miRNA–gene interactions (more than 65 000 targets), presenting a 16.5–175-fold increase over other available manually curated databases. | 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 | Deep learning (Machine learning) | en_GB |
dc.subject | Information storage and retrieval systems | en_GB |
dc.title | TarBase 6.0 : capturing the exponential growth of miRNA targets with experimental support | 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/gkr1161 | - |
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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TarBase_6.0.pdf | 4.88 MB | Adobe PDF | View/Open |
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