MAGeCKFlute
This is the development version of MAGeCKFlute; for the stable release version, see MAGeCKFlute.
Integrative Analysis Pipeline for Pooled CRISPR Functional Genetic Screens
Bioconductor version: Development (3.21)
CRISPR (clustered regularly interspaced short palindrome repeats) coupled with nuclease Cas9 (CRISPR/Cas9) screens represent a promising technology to systematically evaluate gene functions. Data analysis for CRISPR/Cas9 screens is a critical process that includes identifying screen hits and exploring biological functions for these hits in downstream analysis. We have previously developed two algorithms, MAGeCK and MAGeCK-VISPR, to analyze CRISPR/Cas9 screen data in various scenarios. These two algorithms allow users to perform quality control, read count generation and normalization, and calculate beta score to evaluate gene selection performance. In downstream analysis, the biological functional analysis is required for understanding biological functions of these identified genes with different screening purposes. Here, We developed MAGeCKFlute for supporting downstream analysis. MAGeCKFlute provides several strategies to remove potential biases within sgRNA-level read counts and gene-level beta scores. The downstream analysis with the package includes identifying essential, non-essential, and target-associated genes, and performing biological functional category analysis, pathway enrichment analysis and protein complex enrichment analysis of these genes. The package also visualizes genes in multiple ways to benefit users exploring screening data. Collectively, MAGeCKFlute enables accurate identification of essential, non-essential, and targeted genes, as well as their related biological functions. This vignette explains the use of the package and demonstrates typical workflows.
Author: Binbin Wang, Wubing Zhang, Feizhen Wu, Wei Li & X. Shirley Liu
Maintainer: Wubing Zhang <Watson5bZhang at gmail.com>
citation("MAGeCKFlute")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("MAGeCKFlute")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual |
Details
| biocViews | CRISPR, FunctionalGenomics, GeneSetEnrichment, GeneTarget, KEGG, Normalization, Pathways, PooledScreens, QualityControl, Software, Visualization |
| Version | 2.11.0 |
| In Bioconductor since | BioC 3.7 (R-3.5) (6.5 years) |
| License | GPL (>=3) |
| Depends | R (>= 4.1) |
| Imports | Biobase, gridExtra, ggplot2, ggrepel, grDevices, grid, reshape2, stats, utils, DOSE, clusterProfiler, pathview, enrichplot, msigdbr, depmap |
| System Requirements | |
| URL |
See More
| Suggests | biomaRt, BiocStyle, dendextend, graphics, knitr, pheatmap, png, scales, sva, BiocManager |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
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| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/MAGeCKFlute |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MAGeCKFlute |
| Package Short Url | https://bioconductor.org/packages/MAGeCKFlute/ |
| Package Downloads Report | Download Stats |