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GExPipe

This is the development version of GExPipe; to use it, please install the devel version of Bioconductor.

GExPipe: Gene Expression Pipeline Shiny Application


Bioconductor version: Development (3.24)

Shiny application (GExPipe) for high-throughput genomic analysis of bulk RNA-seq and microarray data (e.g. from GEO). Four analysis types: RNA-seq only, microarray only, Merged (Both) (per-dataset normalize then one joint batch and limma DE), and Parallel DE then merge (separate pipelines through DE, then RNA-seq intersect microarray). Each RNA-seq and microarray box accepts one or more GSE IDs in the same run. Integrates with Bioconductor (GEOquery, Biobase, limma, DESeq2, edgeR, clusterProfiler) for download, QC, normalization, batch correction, differential expression, WGCNA, pathway enrichment, PPI, and machine learning. Uses common data structures (ExpressionSet, DGEList) for interoperability. For a full dependency tree (including STRINGdb + PPI helpers), use BiocManager::install("GExPipe", dependencies = TRUE). STRING data are downloaded on first PPI use (internet required); they cannot be bundled in the package. Microarray CEL normalization uses affy and/or oligo when supplementary CEL files are available.

Author: Safa Rafique [aut, cre] ORCID iD ORCID: 0000-0003-2646-8106 , Naeem Mahmood Ashraf [aut], Prof. Dr. Muhammad Farooq Sabar [aut]

Maintainer: Safa Rafique <safa.sandhu at gmail.com>

Citation (from within R, enter citation("GExPipe")):

Safa Rafique, Naeem Mahmood Ashraf, Prof. Dr. Muhammad Farooq Sabar. GExPipe: GExPipe: Gene Expression Pipeline Shiny Application. doi:10.18129/B9.bioc.GExPipe, R package version 0.99.108, https://bioconductor.org/packages/GExPipe.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("GExPipe")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GExPipe")
Introduction to GExPipe HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews DifferentialExpression, GeneExpression, Microarray, Network, NetworkEnrichment, Normalization, Pathways, RNASeq, ShinyApps, Software, Visualization
Version0.99.108
In Bioconductor sinceBioC 3.24 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.5.0)
Imports affy (>= 1.84.0), AnnotationDbi (>= 1.64.0), Biobase (>= 2.62.0), BiocGenerics, biomaRt (>= 2.58.0), caret (>= 6.0.94), circlize (>= 0.4.16), cli (>= 3.6.0), clusterProfiler (>= 4.10.0), data.table (>= 1.15.0), DESeq2 (>= 1.42.0), dplyr (>= 1.1.0), DT (>= 0.30), dynamicTreeCut (>= 1.63.1), edgeR (>= 4.0.0), enrichplot (>= 1.22.0), GEOquery (>= 2.70.0), ggplot2 (>= 3.4.0), ggpubr (>= 0.6.0), ggraph (>= 2.2.0), ggrepel (>= 0.9.5), glmnet (>= 4.1.0), glue (>= 1.6.0), gridExtra (>= 2.3), igraph (>= 2.0.0), lifecycle (>= 1.0.0), limma (>= 3.58.0), logistf (>= 1.26.0), Matrix (>= 1.6.0), msigdbr (>= 7.5.1), oligo (>= 1.66.0), org.Hs.eg.db (>= 3.17.0), parallel, methods, pheatmap (>= 1.0.12), pillar (>= 1.9.0), pROC (>= 1.18.0), R.utils (>= 2.12.0), randomForest (>= 4.7.1), RColorBrewer (>= 1.1.3), Rcpp (>= 1.0.12), reshape2 (>= 1.4.4), rlang (>= 1.1.0), rms (>= 6.7.0), scales (>= 1.3.0), shiny (>= 1.8.0), shinydashboard (>= 0.7.2), shinyjs (>= 2.1.0), STRINGdb (>= 2.14.0), SummarizedExperiment (>= 1.32.0), sva (>= 3.50.0), tibble (>= 3.2.0), tidyr (>= 1.3.0), tidygraph (>= 1.3.0), UpSetR (>= 1.4.0), vctrs (>= 0.6.0), VennDiagram (>= 1.7.0), WGCNA (>= 1.72), withr (>= 2.5.0), xgboost (>= 1.7.0)
System RequirementsGNU make
URLhttps://github.com/safarafique/GExPipe
Bug Reportshttps://github.com/safarafique/GExPipe/issues
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Suggests BiocCheck, BiocManager, BiocStyle, Boruta (>= 8.0.0), bslib, car (>= 3.1.0), chromote, cicerone (>= 1.0.4), corrplot (>= 0.92), crosstalk, dcurves (>= 0.5.0), devtools, fontawesome, htmltools, htmlwidgets, kernlab (>= 0.9.32), knitr, mixOmics (>= 6.26.0), pak, pkgload, rmarkdown, remotes, SHAPforxgboost (>= 0.1.0), curl, httpuv, shinytest2, stringi, testthat
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package GExPipe_0.99.108.tar.gz
Windows Binary (x86_64) GExPipe_0.99.108.zip (64-bit only)
macOS Binary (big-sur-x86_64) GExPipe_0.99.108.tgz
macOS Binary (sonoma-arm64) GExPipe_0.99.108.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/GExPipe
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/GExPipe
Package Short Url https://bioconductor.org/packages/GExPipe/
Package Downloads ReportDownload Stats