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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). Integrates with Bioconductor (GEOquery, Biobase, limma, DESeq2, edgeR, clusterProfiler) for a single workflow: 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")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

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 Manual PDF
NEWS Text
LICENSE Text

Details

biocViews DifferentialExpression, GeneExpression, Microarray, Network, NetworkEnrichment, Normalization, Pathways, RNASeq, ShinyApps, Software, Visualization
Version 0.99.51
In Bioconductor since BioC 3.24 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.6.0)
Imports affy(>= 1.84.0), AnnotationDbi(>= 1.64.0), Biobase(>= 2.62.0), 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), 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), 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 Requirements GNU make
URL https://github.com/safarafique/GExPipe
Bug Reports https://github.com/safarafique/GExPipe/issues
See More
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), shinytest2, stringi, testthat
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Package Archives

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

Source Package GExPipe_0.99.51.tar.gz
Windows Binary (x86_64) GExPipe_0.99.44.zip
macOS Binary (big-sur-x86_64) GExPipe_0.99.51.tgz
macOS Binary (sonoma-arm64) GExPipe_0.99.51.tgz
Source Repository git clone https://git.bioconductor.org/packages/GExPipe
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GExPipe
Bioc Package Browser https://code.bioconductor.org/browse/GExPipe/
Package Short Url https://bioconductor.org/packages/GExPipe/
Package Downloads Report Download Stats