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https://www.um.edu.mt/library/oar/handle/123456789/117788
Title: | DIANA-microT Web server upgrade supports Fly and Worm miRNA target prediction and bibliographic miRNA to disease association |
Authors: | Maragkakis, Manolis Vergoulis, Thanasis Alexiou, Panagiotis Reczko, Martin Plomaritou, Kyriaki Gousis, Mixail Kourtis, Kornilios Koziris, Nectarios Dalamagas, Theodore Hatzigeorgiou, Artemis G. |
Keywords: | MicroRNA Deep learning (Machine learning) Information storage and retrieval systems |
Issue Date: | 2011 |
Publisher: | Oxford University Press |
Citation: | Maragkakis, 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. |
Abstract: | microRNAs (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 . |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/117788 |
Appears in Collections: | Scholarly Works - FacHScABS |
Files in This Item:
File | Description | Size | Format | |
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DIANA_microT_Web_server_upgrade_supports_Fly_and_Worm_miRNA_target_prediction_and_bibliographic_miRNA_to_disease_association.pdf | 3.66 MB | Adobe PDF | View/Open |
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