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GWENA

Pipeline for augmented co-expression analysis

Bioconductor version: 3.23 · Package version: 1.22.0

The development of high-throughput sequencing led to increased use of co-expression analysis to go beyong single feature (i.e. gene) focus. We propose GWENA (Gene Whole co-Expression Network Analysis) , a tool designed to perform gene co-expression network analysis and explore the results in a single pipeline. It includes functional enrichment of modules of co-expressed genes, phenotypcal association, topological analysis and comparison of networks configuration between conditions.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("GWENA")

Details

MaintainerGwenaƫlle Lemoine <lemoine.gwenaelle@gmail.com>
AuthorGwenaƫlle Lemoine [aut, cre] (ORCID: <https://orcid.org/0000-0003-4747-1937>), Marie-Pier Scott-Boyer [ths], Arnaud Droit [fnd]
LicenseGPL-3
Bug Reportshttps://github.com/Kumquatum/GWENA/issues
Downloads rank293
Source branchRELEASE_3_23
biocViewsClustering, GO, GeneExpression, GeneSetEnrichment, GraphAndNetwork, Microarray, Network, NetworkEnrichment, Pathways, RNASeq, Sequencing, Software, Transcriptomics, Visualization, mRNAMicroarray

Documentation

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Dependencies

Depends: R (>= 4.1)

Imports: WGCNA (>= 1.67), dplyr (>= 0.8.3), dynamicTreeCut (>= 1.63-1), ggplot2 (>= 3.1.1), gprofiler2 (>= 0.1.6), magrittr (>= 1.5), tibble (>= 2.1.1), tidyr (>= 1.0.0), NetRep (>= 1.2.1), igraph (>= 1.2.4.1), RColorBrewer (>= 1.1-2), purrr (>= 0.3.3), rlist (>= 0.4.6.1), matrixStats (>= 0.55.0), SummarizedExperiment (>= 1.14.1), stringr (>= 1.4.0), cluster (>= 2.1.0), grDevices (>= 4.0.4), methods, graphics, stats, utils

Suggests: testthat (>= 2.1.0), knitr (>= 1.25), rmarkdown (>= 1.16), prettydoc (>= 0.3.0), httr (>= 1.4.1), S4Vectors (>= 0.22.1), BiocStyle (>= 2.15.8)