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MiRonTop: mining microRNAs targets across large scale gene expression studies

Summary: Current challenges in microRNA (miRNA) research are to improve the identification of in vivo mRNA targets and clarify the complex interplay existing between a specific miRNA and multiple biological networks. MiRonTop is an online java web tool that integrates DNA microarrays or high-through...

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Detalles Bibliográficos
Autores principales: Le Brigand, Kevin, Robbe-Sermesant, Karine, Mari, Bernard, Barbry, Pascal
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2995122/
https://www.ncbi.nlm.nih.gov/pubmed/20959382
http://dx.doi.org/10.1093/bioinformatics/btq589
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author Le Brigand, Kevin
Robbe-Sermesant, Karine
Mari, Bernard
Barbry, Pascal
author_facet Le Brigand, Kevin
Robbe-Sermesant, Karine
Mari, Bernard
Barbry, Pascal
author_sort Le Brigand, Kevin
collection PubMed
description Summary: Current challenges in microRNA (miRNA) research are to improve the identification of in vivo mRNA targets and clarify the complex interplay existing between a specific miRNA and multiple biological networks. MiRonTop is an online java web tool that integrates DNA microarrays or high-throughput sequencing data to identify the potential implication of miRNAs on a specific biological system. It allows a rapid characterization of the most pertinent mRNA targets according to several existing miRNA target prediction approaches. It also provides useful representations of the enrichment scores according to the position of the target site along the 3(′)-UTR, where the contribution of the sites located in the vicinity of the stop codon and of the polyA tail can be clearly highlighted. It provides different graphs of miRNA enrichment associated with up- or down-regulated transcripts and different summary tables about selections of mRNA targets and their functional annotations by Gene Ontology. Availability: http://www.microarray.fr:8080/miRonTop/index Contact: barbry@ipmc.cnrs.fr
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spelling pubmed-29951222010-12-02 MiRonTop: mining microRNAs targets across large scale gene expression studies Le Brigand, Kevin Robbe-Sermesant, Karine Mari, Bernard Barbry, Pascal Bioinformatics Applications Note Summary: Current challenges in microRNA (miRNA) research are to improve the identification of in vivo mRNA targets and clarify the complex interplay existing between a specific miRNA and multiple biological networks. MiRonTop is an online java web tool that integrates DNA microarrays or high-throughput sequencing data to identify the potential implication of miRNAs on a specific biological system. It allows a rapid characterization of the most pertinent mRNA targets according to several existing miRNA target prediction approaches. It also provides useful representations of the enrichment scores according to the position of the target site along the 3(′)-UTR, where the contribution of the sites located in the vicinity of the stop codon and of the polyA tail can be clearly highlighted. It provides different graphs of miRNA enrichment associated with up- or down-regulated transcripts and different summary tables about selections of mRNA targets and their functional annotations by Gene Ontology. Availability: http://www.microarray.fr:8080/miRonTop/index Contact: barbry@ipmc.cnrs.fr Oxford University Press 2010-12-15 2010-10-19 /pmc/articles/PMC2995122/ /pubmed/20959382 http://dx.doi.org/10.1093/bioinformatics/btq589 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Le Brigand, Kevin
Robbe-Sermesant, Karine
Mari, Bernard
Barbry, Pascal
MiRonTop: mining microRNAs targets across large scale gene expression studies
title MiRonTop: mining microRNAs targets across large scale gene expression studies
title_full MiRonTop: mining microRNAs targets across large scale gene expression studies
title_fullStr MiRonTop: mining microRNAs targets across large scale gene expression studies
title_full_unstemmed MiRonTop: mining microRNAs targets across large scale gene expression studies
title_short MiRonTop: mining microRNAs targets across large scale gene expression studies
title_sort mirontop: mining micrornas targets across large scale gene expression studies
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2995122/
https://www.ncbi.nlm.nih.gov/pubmed/20959382
http://dx.doi.org/10.1093/bioinformatics/btq589
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