Unknown

Dataset Information

0

RTNduals: an R/Bioconductor package for analysis of co-regulation and inference of dual regulons.


ABSTRACT: MOTIVATION:Transcription factors (TFs) are key regulators of gene expression, and can activate or repress multiple target genes, forming regulatory units, or regulons. Understanding downstream effects of these regulators includes evaluating how TFs cooperate or compete within regulatory networks. Here we present RTNduals, an R/Bioconductor package that implements a general method for analyzing pairs of regulons. RESULTS:RTNduals identifies a dual regulon when the number of targets shared between a pair of regulators is statistically significant. The package extends the RTN (Reconstruction of Transcriptional Networks) package, and uses RTN transcriptional networks to identify significant co-regulatory associations between regulons. The Supplementary Information reports two case studies for TFs using the METABRIC and TCGA breast cancer cohorts. AVAILABILITY AND IMPLEMENTATION:RTNduals is written in the R language, and is available from the Bioconductor project at http://bioconductor.org/packages/RTNduals/. SUPPLEMENTARY INFORMATION:Supplementary data are available at Bioinformatics online.

SUBMITTER: Chagas VS 

PROVIDER: S-EPMC6954650 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

RTNduals: an R/Bioconductor package for analysis of co-regulation and inference of dual regulons.

Chagas Vinicius S VS   Groeneveld Clarice S CS   Oliveira Kelin G KG   Trefflich Sheyla S   de Almeida Rodrigo C RC   Ponder Bruce A J BAJ   Meyer Kerstin B KB   Jones Steven J M SJM   Robertson A Gordon AG   Castro Mauro A A MAA  

Bioinformatics (Oxford, England) 20191201 24


<h4>Motivation</h4>Transcription factors (TFs) are key regulators of gene expression, and can activate or repress multiple target genes, forming regulatory units, or regulons. Understanding downstream effects of these regulators includes evaluating how TFs cooperate or compete within regulatory networks. Here we present RTNduals, an R/Bioconductor package that implements a general method for analyzing pairs of regulons.<h4>Results</h4>RTNduals identifies a dual regulon when the number of targets  ...[more]

Similar Datasets

| S-EPMC8152313 | biostudies-literature
| S-EPMC5819234 | biostudies-literature
| S-EPMC5259853 | biostudies-literature
| S-EPMC4253834 | biostudies-other
| S-EPMC7724894 | biostudies-literature
| S-EPMC6821288 | biostudies-literature
| S-EPMC4866524 | biostudies-literature
| S-EPMC4856967 | biostudies-literature
| S-EPMC5860088 | biostudies-other
| S-EPMC4860309 | biostudies-literature