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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...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2010
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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 |
format | Text |
id | pubmed-2995122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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