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miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules
BACKGROUND: A microRNA (miRNA) sponge is an RNA molecule with multiple tandem miRNA response elements that can sequester miRNAs from their target mRNAs. Despite growing appreciation of the importance of miRNA sponges, our knowledge of their complex functions remains limited. Moreover, there is still...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509829/ https://www.ncbi.nlm.nih.gov/pubmed/31077152 http://dx.doi.org/10.1186/s12859-019-2861-y |
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author | Zhang, Junpeng Liu, Lin Xu, Taosheng Xie, Yong Zhao, Chunwen Li, Jiuyong Le, Thuc Duy |
author_facet | Zhang, Junpeng Liu, Lin Xu, Taosheng Xie, Yong Zhao, Chunwen Li, Jiuyong Le, Thuc Duy |
author_sort | Zhang, Junpeng |
collection | PubMed |
description | BACKGROUND: A microRNA (miRNA) sponge is an RNA molecule with multiple tandem miRNA response elements that can sequester miRNAs from their target mRNAs. Despite growing appreciation of the importance of miRNA sponges, our knowledge of their complex functions remains limited. Moreover, there is still a lack of miRNA sponge research tools that help researchers to quickly compare their proposed methods with other methods, apply existing methods to new datasets, or select appropriate methods for assisting in subsequent experimental design. RESULTS: To fill the gap, we present an R/Bioconductor package, miRspongeR, for simplifying the procedure of identifying and analyzing miRNA sponge interaction networks and modules. It provides seven popular methods and an integrative method to identify miRNA sponge interactions. Moreover, it supports the validation of miRNA sponge interactions and the identification of miRNA sponge modules, as well as functional enrichment and survival analysis of miRNA sponge modules. CONCLUSIONS: This package enables researchers to quickly evaluate their new methods, apply existing methods to new datasets, and consequently speed up miRNA sponge research. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2861-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6509829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65098292019-06-05 miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules Zhang, Junpeng Liu, Lin Xu, Taosheng Xie, Yong Zhao, Chunwen Li, Jiuyong Le, Thuc Duy BMC Bioinformatics Software BACKGROUND: A microRNA (miRNA) sponge is an RNA molecule with multiple tandem miRNA response elements that can sequester miRNAs from their target mRNAs. Despite growing appreciation of the importance of miRNA sponges, our knowledge of their complex functions remains limited. Moreover, there is still a lack of miRNA sponge research tools that help researchers to quickly compare their proposed methods with other methods, apply existing methods to new datasets, or select appropriate methods for assisting in subsequent experimental design. RESULTS: To fill the gap, we present an R/Bioconductor package, miRspongeR, for simplifying the procedure of identifying and analyzing miRNA sponge interaction networks and modules. It provides seven popular methods and an integrative method to identify miRNA sponge interactions. Moreover, it supports the validation of miRNA sponge interactions and the identification of miRNA sponge modules, as well as functional enrichment and survival analysis of miRNA sponge modules. CONCLUSIONS: This package enables researchers to quickly evaluate their new methods, apply existing methods to new datasets, and consequently speed up miRNA sponge research. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2861-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-10 /pmc/articles/PMC6509829/ /pubmed/31077152 http://dx.doi.org/10.1186/s12859-019-2861-y Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Zhang, Junpeng Liu, Lin Xu, Taosheng Xie, Yong Zhao, Chunwen Li, Jiuyong Le, Thuc Duy miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules |
title | miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules |
title_full | miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules |
title_fullStr | miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules |
title_full_unstemmed | miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules |
title_short | miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules |
title_sort | mirsponger: an r/bioconductor package for the identification and analysis of mirna sponge interaction networks and modules |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509829/ https://www.ncbi.nlm.nih.gov/pubmed/31077152 http://dx.doi.org/10.1186/s12859-019-2861-y |
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