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

Vinicius S Chagas | Zendy; Clarice S. Groeneveld | Zendy; Kelin Gonçalves de Oliveira | Zendy; Sheyla Trefflich | Zendy; Rodrigo Coutinho de Almeida | Zendy; Bruce A.J. Ponder | Zendy; Kerstin B. Meyer | Zendy; Steven J.M. Jones | Zendy; A. Gordon Robertson | Zendy; Mauro A. A. Castro | Zendy

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

Author(s) -

Vinicius S Chagas,

Clarice S. Groeneveld,

Kelin Gonçalves de Oliveira,

Sheyla Trefflich,

Rodrigo Coutinho de Almeida,

Bruce A.J. Ponder,

Kerstin B. Meyer,

Steven J.M. Jones,

A. Gordon Robertson,

Mauro A. A. Castro

Publication year - 2019

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btz534

Subject(s) - bioconductor , regulon , computer science , inference , r package , computational biology , biology , data mining , regulation of gene expression , gene , genetics , artificial intelligence , programming language

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.

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