This is the development version of cliProfiler; for the stable release version, see cliProfiler.
A package for the CLIP data visualizationBioconductor version: Development (3.22)
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] ORCID: 0000-0003-1755-9073 , Kathi Zarnack [aut] ORCID: 0000-0003-3527-3378
Maintainer: You Zhou <youzhoulearning at gmail.com>
Citation (from within R, entercitation("cliProfiler")
): 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("cliProfiler")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cliProfiler")
Details biocViews ChIPSeq, Epigenetics, Genetics, Sequencing, Software, Visualization Version 1.15.0 In Bioconductor since BioC 3.14 (R-4.1) (3.5 years) License Artistic-2.0 Depends S4Vectors, methods, R (>= 4.1) Imports dplyr, rtracklayer, GenomicRanges, ggplot2, BSgenome, Biostrings, utils System Requirements URL https://github.com/Codezy99/cliProfiler Bug Reports https://github.com/Codezy99/cliProfiler/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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