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DIANA-microT Web server upgrade supports Fly and Worm miRNA target prediction and bibliographic miRNA to disease association

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 mou...

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Detalles Bibliográficos
Autores principales: Maragkakis, Manolis, Vergoulis, Thanasis, Alexiou, Panagiotis, Reczko, Martin, Plomaritou, Kyriaki, Gousis, Mixail, Kourtis, Kornilios, Koziris, Nectarios, Dalamagas, Theodore, Hatzigeorgiou, Artemis G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3125744/
https://www.ncbi.nlm.nih.gov/pubmed/21551220
http://dx.doi.org/10.1093/nar/gkr294
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author Maragkakis, Manolis
Vergoulis, Thanasis
Alexiou, Panagiotis
Reczko, Martin
Plomaritou, Kyriaki
Gousis, Mixail
Kourtis, Kornilios
Koziris, Nectarios
Dalamagas, Theodore
Hatzigeorgiou, Artemis G.
author_facet Maragkakis, Manolis
Vergoulis, Thanasis
Alexiou, Panagiotis
Reczko, Martin
Plomaritou, Kyriaki
Gousis, Mixail
Kourtis, Kornilios
Koziris, Nectarios
Dalamagas, Theodore
Hatzigeorgiou, Artemis G.
author_sort Maragkakis, Manolis
collection PubMed
description 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.
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spelling pubmed-31257442011-07-05 DIANA-microT Web server upgrade supports Fly and Worm miRNA target prediction and bibliographic miRNA to disease association Maragkakis, Manolis Vergoulis, Thanasis Alexiou, Panagiotis Reczko, Martin Plomaritou, Kyriaki Gousis, Mixail Kourtis, Kornilios Koziris, Nectarios Dalamagas, Theodore Hatzigeorgiou, Artemis G. Nucleic Acids Res Articles 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. Oxford University Press 2011-07-01 2011-05-06 /pmc/articles/PMC3125744/ /pubmed/21551220 http://dx.doi.org/10.1093/nar/gkr294 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Maragkakis, Manolis
Vergoulis, Thanasis
Alexiou, Panagiotis
Reczko, Martin
Plomaritou, Kyriaki
Gousis, Mixail
Kourtis, Kornilios
Koziris, Nectarios
Dalamagas, Theodore
Hatzigeorgiou, Artemis G.
DIANA-microT Web server upgrade supports Fly and Worm miRNA target prediction and bibliographic miRNA to disease association
title DIANA-microT Web server upgrade supports Fly and Worm miRNA target prediction and bibliographic miRNA to disease association
title_full DIANA-microT Web server upgrade supports Fly and Worm miRNA target prediction and bibliographic miRNA to disease association
title_fullStr DIANA-microT Web server upgrade supports Fly and Worm miRNA target prediction and bibliographic miRNA to disease association
title_full_unstemmed DIANA-microT Web server upgrade supports Fly and Worm miRNA target prediction and bibliographic miRNA to disease association
title_short DIANA-microT Web server upgrade supports Fly and Worm miRNA target prediction and bibliographic miRNA to disease association
title_sort diana-microt web server upgrade supports fly and worm mirna target prediction and bibliographic mirna to disease association
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3125744/
https://www.ncbi.nlm.nih.gov/pubmed/21551220
http://dx.doi.org/10.1093/nar/gkr294
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