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PostChicago

This is the development version of PostChicago; to use it, please install the devel version of Bioconductor.

PostChicago - visualization and integration of Capture-(Hi)C data


Bioconductor version: Development (3.24)

PostCHiCAGO (stylized from here as PostChicago) is a toolbox for visualising and assessing the output from the CHiCAGO pipeline (SOURCE). The plots created by PostChicago show reads or CHiCAGO scores over different regions. PostChicago can integrate different experiments with other types of datasets and compare separate conditions.

Author: Angelika Feldmann [aut, cre] ORCID iD ORCID: 0000-0001-7094-8081 , Samuel Krall [aut], Belinda Blum [aut]

Maintainer: Angelika Feldmann <angelika.feldmann at dkfz-heidelberg.de>

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

Angelika Feldmann, Samuel Krall, Belinda Blum. PostChicago: PostChicago - visualization and integration of Capture-(Hi)C data. doi:10.18129/B9.bioc.PostChicago, R package version 0.99.4, https://bioconductor.org/packages/PostChicago.

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")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("PostChicago")

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("PostChicago")
PostChicago HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Epigenetics, GeneRegulation, Software, Visualization
Version0.99.4
In Bioconductor sinceBioC 3.24 (R-4.6)
License Artistic-2.0
Depends R (>= 4.4.0)
Imports GenomicRanges, pheatmap, S4Vectors, IRanges, ggplot2, RColorBrewer, Chicago, utils, graphics, grDevices, stringr, gridExtra, BiocFileCache, matrixStats, rtracklayer, patchwork, dplyr, tidyr, rlang, data.table
System Requirements
URLhttps://github.com/FeldmannLabDKFZ/PostChicago
See More
Suggests knitr, rmarkdown, testthat (>= 3.0.0), BiocGenerics, codetools, BiocStyle, ragg
Linking To
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Depends On Me
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Build Report Build Report, r-universe

Package Archives

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

Source Package PostChicago_0.99.4.tar.gz
Windows Binary (x86_64) PostChicago_0.99.4.zip
macOS Binary (big-sur-x86_64) PostChicago_0.99.4.tgz
macOS Binary (sonoma-arm64) PostChicago_0.99.4.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/PostChicago
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/PostChicago
Package Short Url https://bioconductor.org/packages/PostChicago/
Package Downloads ReportDownload Stats