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Bioconductor - Scale4C (development version)

Scale4C

This is the development version of Scale4C; for the stable release version, see Scale4C.

Scale4C: an R/Bioconductor package for scale-space transformation of 4C-seq data

Bioconductor version: Development (3.22)

Scale4C is an R/Bioconductor package for scale-space transformation and visualization of 4C-seq data. The scale-space transformation is a multi-scale visualization technique to transform a 2D signal (e.g. 4C-seq reads on a genomic interval of choice) into a tesselation in the scale space (2D, genomic position x scale factor) by applying different smoothing kernels (Gauss, with increasing sigma). This transformation allows for explorative analysis and comparisons of the data's structure with other samples.

Author: Carolin Walter

Maintainer: Carolin Walter <carolin.walter at uni-muenster.de>

Citation (from within R, enter citation("Scale4C")): Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("Scale4C")

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("Scale4C")
Scale4C: an R/Bioconductor package for scale-space transformation of 4C-seq data PDF R Script Reference Manual PDF NEWS Text Details biocViews Coverage, DataImport, QualityControl, Sequencing, Software, Visualization Version 1.31.1 In Bioconductor since BioC 3.6 (R-3.4) (7.5 years) License LGPL-3 Depends R (>= 3.5.0), smoothie, GenomicRanges, IRanges, SummarizedExperiment Imports methods, grDevices, graphics, utils System Requirements URL See More Suggests Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives

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


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