PGPC

This package is for version 3.7 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see PGPC.

Experimental data and analysis of the chemical-genetic interaction screen in isogenic HCT116 cell lines


Bioconductor version: 3.7

This package contains the experimental data and a vignette guiding through the analysis of a chemical-genenetic interaction screen in isogenic HCT116 cell lines. The code can be executed to generate all results and figures for the manuscript "A chemical-genetic interaction map of small molecules using high-throughput imaging in cancer cells" accepted for publicaton at Molecular Systems Biology. Data availability: Complementary views on this dataset are available through different repositories. The image data files are available from the BioStudies database at the European Bioinformatics Institute (EMBL-EBI) under the accession S-BSMS-PGPC1 (http://wwwdev.ebi.ac.uk/biostudies/studies/S-BSMS-PGPC1) An interactive front-end for exploration of the images is provided by the IDR database http://dx.doi.org/10.17867/10000101. The authors are hosting an interactive webpage to browse images and interaction profiles at http://dedomena.embl.de/PGPC.

Author: Felix Klein

Maintainer: Felix Klein <daggoth at gmx.de>

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

Installation

To install this package, start R (version "3.5") and enter:


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

BiocManager::install("PGPC")

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("PGPC")
PGPC PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews CancerData, ColonCancerData, ExperimentData
Version 1.8.0
License Artistic-2.0
Depends R (>= 3.0), EBImage, imageHTS, SearchTrees, limma, RColorBrewer, gplots, splots, ggplot2, geneplotter, ChemmineR, reshape2, plyr
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Suggests BiocStyle, knitr
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Package Archives

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

Source Package PGPC_1.8.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan)
Source Repository git clone https://git.bioconductor.org/packages/PGPC
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/PGPC
Package Short Url https://bioconductor.org/packages/PGPC/
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