gCrisprTools

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see gCrisprTools.

Suite of Functions for Pooled Crispr Screen QC and Analysis


Bioconductor version: 3.7

Set of tools for evaluating pooled high-throughput screening experiments, typically employing CRISPR/Cas9 or shRNA expression cassettes. Contains methods for interrogating library and cassette behavior within an experiment, identifying differentially abundant cassettes, aggregating signals to identify candidate targets for empirical validation, hypothesis testing, and comprehensive reporting.

Author: Russell Bainer, Dariusz Ratman, Steve Lianoglou, Peter Haverty

Maintainer: Peter Haverty <haverty.peter at gene.com>

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

Installation

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


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

BiocManager::install("gCrisprTools")

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("gCrisprTools")
Example_Workflow_gCrisprTools HTML R Script
gCrisprTools_Vignette HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews BiomedicalInformatics, CRISPR, CellBiology, DifferentialExpression, ExperimentalDesign, FunctionalGenomics, GeneSetEnrichment, Genetics, MultipleComparison, Normalization, Pharmacogenetics, Pharmacogenomics, PooledScreens, Preprocessing, QualityControl, RNASeq, Regression, Software, SystemsBiology, Visualization
Version 1.8.0
In Bioconductor since BioC 3.4 (R-3.3) (7.5 years)
License Artistic-2.0
Depends R (>= 3.3)
Imports Biobase, limma, RobustRankAggreg, ggplot2, PANTHER.db, rmarkdown, grDevices, graphics, stats, utils, parallel
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Suggests edgeR, knitr, grid, AnnotationDbi, org.Mm.eg.db, org.Hs.eg.db, RUnit, BiocGenerics
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Package Archives

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

Source Package gCrisprTools_1.8.0.tar.gz
Windows Binary gCrisprTools_1.8.0.zip
Mac OS X 10.11 (El Capitan) gCrisprTools_1.8.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/gCrisprTools
Source Repository (Developer Access) git clone [email protected]:packages/gCrisprTools
Package Short Url https://bioconductor.org/packages/gCrisprTools/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.7 Source Archive