Please use this identifier to cite or link to this item: 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



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