cliProfiler

DOI: 10.18129/B9.bioc.cliProfiler    

A package for the CLIP data visualization

Bioconductor version: Release (3.15)

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.

Author: You Zhou [aut, cre] , Kathi Zarnack [aut]

Maintainer: You Zhou <youzhoulearning at gmail.com>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("cliProfiler")

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("cliProfiler")

 

HTML	R Script	cliProfiler Vignettes
PDF		Reference Manual
Text		NEWS

Details

biocViews	ChIPSeq, Epigenetics, Genetics, Sequencing, Software, Visualization
Version	1.2.0
In Bioconductor since	BioC 3.14 (R-4.1) (1 year)
License	Artistic-2.0
Depends	S4Vectors, methods, R (>= 4.1)
Imports	dplyr, rtracklayer, GenomicRanges, ggplot2, BSgenome, Biostrings, utils
LinkingTo
Suggests	knitr, rmarkdown, bookdown, testthat, BiocStyle
SystemRequirements
Enhances
URL	https://github.com/Codezy99/cliProfiler
BugReports	https://github.com/Codezy99/cliProfiler/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	cliProfiler_1.2.0.tar.gz
Windows Binary	cliProfiler_1.2.0.zip
macOS Binary (x86_64)	cliProfiler_1.2.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/cliProfiler
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/cliProfiler
Package Short Url	https://bioconductor.org/packages/cliProfiler/
Package Downloads Report	Download Stats