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TimiRGeN: R/Bioconductor package for time series microRNA–mRNA integration and analysis
MOTIVATION: The analysis of longitudinal datasets and construction of gene regulatory networks (GRNs) provide a valuable means to disentangle the complexity of microRNA (miRNA)–mRNA interactions. However, there are no computational tools that can integrate, conduct functional analysis and generate d...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545325/ https://www.ncbi.nlm.nih.gov/pubmed/33993215 http://dx.doi.org/10.1093/bioinformatics/btab377 |
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author | Patel, K Chandrasegaran, S Clark, I M Proctor, C J Young, D A Shanley, D P |
author_facet | Patel, K Chandrasegaran, S Clark, I M Proctor, C J Young, D A Shanley, D P |
author_sort | Patel, K |
collection | PubMed |
description | MOTIVATION: The analysis of longitudinal datasets and construction of gene regulatory networks (GRNs) provide a valuable means to disentangle the complexity of microRNA (miRNA)–mRNA interactions. However, there are no computational tools that can integrate, conduct functional analysis and generate detailed networks from longitudinal miRNA–mRNA datasets. RESULTS: We present TimiRGeN, an R package that uses time point-based differential expression results to identify miRNA–mRNA interactions influencing signaling pathways of interest. miRNA–mRNA interactions can be visualized in R or exported to PathVisio or Cytoscape. The output can be used for hypothesis generation and directing in vitro or further in silico work such as GRN construction. AVAILABILITY AND IMPLEMENTATION: TimiRGeN is available for download on Bioconductor (https://bioconductor.org/packages/TimiRGeN) and requires R v4.0.2 or newer and BiocManager v3.12 or newer. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-8545325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-85453252021-10-26 TimiRGeN: R/Bioconductor package for time series microRNA–mRNA integration and analysis Patel, K Chandrasegaran, S Clark, I M Proctor, C J Young, D A Shanley, D P Bioinformatics Original Papers MOTIVATION: The analysis of longitudinal datasets and construction of gene regulatory networks (GRNs) provide a valuable means to disentangle the complexity of microRNA (miRNA)–mRNA interactions. However, there are no computational tools that can integrate, conduct functional analysis and generate detailed networks from longitudinal miRNA–mRNA datasets. RESULTS: We present TimiRGeN, an R package that uses time point-based differential expression results to identify miRNA–mRNA interactions influencing signaling pathways of interest. miRNA–mRNA interactions can be visualized in R or exported to PathVisio or Cytoscape. The output can be used for hypothesis generation and directing in vitro or further in silico work such as GRN construction. AVAILABILITY AND IMPLEMENTATION: TimiRGeN is available for download on Bioconductor (https://bioconductor.org/packages/TimiRGeN) and requires R v4.0.2 or newer and BiocManager v3.12 or newer. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2021-05-16 /pmc/articles/PMC8545325/ /pubmed/33993215 http://dx.doi.org/10.1093/bioinformatics/btab377 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Papers Patel, K Chandrasegaran, S Clark, I M Proctor, C J Young, D A Shanley, D P TimiRGeN: R/Bioconductor package for time series microRNA–mRNA integration and analysis |
title |
TimiRGeN: R/Bioconductor package for time series microRNA–mRNA integration and analysis |
title_full |
TimiRGeN: R/Bioconductor package for time series microRNA–mRNA integration and analysis |
title_fullStr |
TimiRGeN: R/Bioconductor package for time series microRNA–mRNA integration and analysis |
title_full_unstemmed |
TimiRGeN: R/Bioconductor package for time series microRNA–mRNA integration and analysis |
title_short |
TimiRGeN: R/Bioconductor package for time series microRNA–mRNA integration and analysis |
title_sort | timirgen: r/bioconductor package for time series microrna–mrna integration and analysis |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545325/ https://www.ncbi.nlm.nih.gov/pubmed/33993215 http://dx.doi.org/10.1093/bioinformatics/btab377 |
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