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This is the development version of deltaCaptureC; for the stable release version, see deltaCaptureC.

This Package Discovers Meso-scale Chromatin Remodeling from 3C Data

Bioconductor version: Development (3.20)

This package discovers meso-scale chromatin remodelling from 3C data. 3C data is local in nature. It givens interaction counts between restriction enzyme digestion fragments and a preferred 'viewpoint' region. By binning this data and using permutation testing, this package can test whether there are statistically significant changes in the interaction counts between the data from two cell types or two treatments.

Author: Michael Shapiro [aut, cre]

Maintainer: Michael Shapiro <michael.shapiro at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Delta Capture-C HTML R Script
Reference Manual PDF


biocViews BiologicalQuestion, Software, StatisticalMethod
Version 1.19.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License MIT + file LICENSE
Depends R (>= 3.6)
Imports IRanges, GenomicRanges, SummarizedExperiment, ggplot2, DESeq2, tictoc
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Suggests knitr, rmarkdown
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Follow Installation instructions to use this package in your R session.

Source Package deltaCaptureC_1.19.0.tar.gz
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macOS Binary (x86_64) deltaCaptureC_1.19.0.tgz
macOS Binary (arm64) deltaCaptureC_1.19.0.tgz
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