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<i>TimiRGeN</i>: <i>R/Bioconductor</i> package for time series microRNA–mRNA integration and analysis

Krutik Patel, Srinivasan Chandrasegaran, Ian M. Clark, Carole J. Proctor, David A. Young, Daryl P. Shanley

2021Bioinformatics17 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

BioconductorIn silicomicroRNAComputational biologyR packageComputer scienceBiologyMessenger RNAGene regulatory networkData miningBioinformaticsGeneGene expressionGeneticsComputational scienceMicroRNA in disease regulationRNA Research and SplicingSingle-cell and spatial transcriptomics
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