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.
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CITATION STYLE
Patel, K., Chandrasegaran, S., Clark, I. M., Proctor, C. J., Young, D. A., & Shanley, D. P. (2021). TimiRGeN: R/Bioconductor package for time series microRNA-mRNA integration and analysis. Bioinformatics, 37(20), 3604–3609. https://doi.org/10.1093/bioinformatics/btab377
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