cliProfiler

A package for the CLIP data visualization

Bioconductor version: 3.24 · Package version: 1.19.0

An easy and fast way to visualize and profile the high-throughput IP data. This package generates the meta gene profile and other profiles. These profiles could provide valuable information for understanding the IP experiment results.

Installation

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

BiocManager::install("cliProfiler")

Details

Maintainer	You Zhou <youzhoulearning@gmail.com>
Author	You Zhou [aut, cre] (ORCID: <https://orcid.org/0000-0003-1755-9073>), Kathi Zarnack [aut] (ORCID: <https://orcid.org/0000-0003-3527-3378>)
License	Artistic-2.0
URL	https://github.com/Codezy99/cliProfiler
Bug Reports	https://github.com/Codezy99/cliProfiler/issues
Downloads rank	406
Source branch	devel
biocViews	ChIPSeq, Epigenetics, Genetics, Sequencing, Software, Visualization

Documentation

cliProfiler Vignettes

Download

Follow the installation instructions to use this package in your R session.

Source package	cliProfiler_1.19.0.tar.gz
Windows binary (x86_64)	cliProfiler_1.19.0.zip
macOS binary (arm64)	cliProfiler_1.19.0.tgz
macOS binary (x86_64)	cliProfiler_1.19.0.tgz

Dependencies

Depends: S4Vectors, methods, R (>= 4.1)

Imports: dplyr, rtracklayer, GenomicRanges, ggplot2, BSgenome, Biostrings, utils

Suggests: knitr, rmarkdown, bookdown, testthat, BiocStyle, BSgenome.Mmusculus.UCSC.mm10