Your browser doesn't support javascript.
loading
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.
Afiliación
  • Patel K; Campus for Ageing and Vitality, Biosciences Institute, Newcastle University, Newcastle upon Tyne NE4 5PL, UK.
  • Chandrasegaran S; Campus for Ageing and Vitality, Biosciences Institute, Newcastle University, Newcastle upon Tyne NE4 5PL, UK.
  • Clark IM; School of Biological Sciences, University of East Anglia, Norwich NR4 7TJ, UK.
  • Proctor CJ; Campus for Ageing and Vitality, Biosciences Institute, Newcastle University, Newcastle upon Tyne NE4 5PL, UK.
  • Young DA; Life Science Centre, Biosciences Institute, Newcastle University, Newcastle upon Tyne NE1 4EP, UK.
  • Shanley DP; Campus for Ageing and Vitality, Biosciences Institute, Newcastle University, Newcastle upon Tyne NE4 5PL, UK.
Bioinformatics ; 37(20): 3604-3609, 2021 Oct 25.
Article en En | MEDLINE | ID: mdl-33993215
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.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido