Bioconductor version: Release (3.15)
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 crick.ac.uk>
Citation (from within R,
enter citation("deltaCaptureC")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("deltaCaptureC")
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:
browseVignettes("deltaCaptureC")
HTML | R Script | Delta Capture-C |
Reference Manual | ||
Text | LICENSE |
biocViews | BiologicalQuestion, Software, StatisticalMethod |
Version | 1.10.0 |
In Bioconductor since | BioC 3.10 (R-3.6) (3 years) |
License | MIT + file LICENSE |
Depends | R (>= 3.6) |
Imports | IRanges, GenomicRanges, SummarizedExperiment, ggplot2, DESeq2, tictoc |
LinkingTo | |
Suggests | knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | deltaCaptureC_1.10.0.tar.gz |
Windows Binary | deltaCaptureC_1.10.0.zip |
macOS Binary (x86_64) | deltaCaptureC_1.10.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/deltaCaptureC |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/deltaCaptureC |
Package Short Url | https://bioconductor.org/packages/deltaCaptureC/ |
Package Downloads Report | Download Stats |
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