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PCHiCdata

This is the released version of PCHiCdata; for the devel version, see PCHiCdata.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3

Promoter Capture Hi-C data


Bioconductor version: Release (3.23)

Subsets of Promoter Capture Hi-C data conveniently packaged for Chicago users. Data includes interactions detected for chromosomes 20 and 21 in GM12878 cells and for chromosomes 18 and 19 in mESC.

Author: Paula Freire-Pritchett, Jonathan Cairns, Steven Wingett, Mikhail Spivakov

Maintainer: Mikhail Spivakov <mikhail.spivakov at lms.mrc.ac.uk>

Citation (from within R, enter citation("PCHiCdata")):

Paula Freire-Pritchett, Jonathan Cairns, Steven Wingett, Mikhail Spivakov. PCHiCdata: Promoter Capture Hi-C data. doi:10.18129/B9.bioc.PCHiCdata, R package version 1.40.0, https://bioconductor.org/packages/PCHiCdata.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("PCHiCdata")

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("PCHiCdata")
PCHiCdata Vignette HTML R Script
Reference ManualPDF

Details

biocViews ExperimentData, Homo_sapiens_Data, Mus_musculus_Data, SequencingData, StemCell
Version1.40.0
In Bioconductor sinceBioC 3.3 (R-3.3) (10.5 years)
License Artistic-2.0
Depends R (>= 3.2), Chicago
Imports
System Requirements
URL
See More
Suggests testthat, BiocStyle, knitr
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me Chicago
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package PCHiCdata_1.40.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/PCHiCdata
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/PCHiCdata
Package Short Url https://bioconductor.org/packages/PCHiCdata/
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