cliProfiler
A package for the CLIP data visualization
Bioconductor version: 3.23 · Package version: 1.18.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | ChIPSeq, Epigenetics, Genetics, Sequencing, Software, Visualization |
| Package Short Url | https://bioconductor.org/packages/cliProfiler/ |
Citation
From within R, enter citation("cliProfiler"):
You Zhou, Kathi Zarnack. cliProfiler: A package for the CLIP data visualization. doi:10.18129/B9.bioc.cliProfiler, R package version 1.18.0, https://bioconductor.org/packages/cliProfiler.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | cliProfiler_1.18.0.tar.gz |
| Windows binary (x86_64) | cliProfiler_1.18.0.zip |
| macOS binary (arm64) | cliProfiler_1.18.0.tgz |
| macOS binary (x86_64) | cliProfiler_1.18.0.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