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fourSynergy

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

All versions 3.24 (devel), 3.23 (release)

Ensemble algorithm for 4C-seq data


Bioconductor version: Release (3.23)

fourSynergy is an ensemble algorithm leveraging synergies among the existing 4C-seq algorithms r3C-seq, peakC, r.4cker and fourSig. It uses a weighted voting approach to perform improved interaction calling. fourSynergy supports also differential interaction calling.

Author: Sophie Wind [aut, cre] ORCID iD ORCID: 0009-0002-1174-8201 , Carolin Walter [aut, fnd] ORCID iD ORCID: 0000-0002-5155-7728

Maintainer: Sophie Wind <sophie.wind at uni-muenster.de>

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

Sophie Wind, Carolin Walter. fourSynergy: Ensemble algorithm for 4C-seq data. doi:10.18129/B9.bioc.fourSynergy, R package version 1.0.0, https://bioconductor.org/packages/fourSynergy.

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("fourSynergy")

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

Details

biocViews DifferentialPeakCalling, Sequencing, Software
Version1.0.0
In Bioconductor sinceBioC 3.23 (R-4.6) (< 6 months)
License LGPL-3
Depends R (>= 4.5.0), GenomicRanges
Imports magrittr, dplyr, ggplot2, tibble, org.Hs.eg.db, org.Mm.eg.db, reshape2, tidyr, methods, jsonlite, karyoploteR, TxDb.Mmusculus.UCSC.mm10.knownGene, TxDb.Hsapiens.UCSC.hg19.knownGene, bamsignals, DESeq2, GenomeInfoDb, graphics, stringr, yaml
System Requirements
URLhttps://github.com/sophiewind/fourSynergy
Bug Reportshttps://github.com/sophiewind/fourSynergy/issues
See More
Suggests testthat (>= 3.0.0), knitr, rmarkdown, BiocStyle
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package fourSynergy_1.0.0.tar.gz
Windows Binary (x86_64) fourSynergy_1.0.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) fourSynergy_1.0.0.tgz
macOS Binary (sonoma-arm64) fourSynergy_1.0.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/fourSynergy
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/fourSynergy
Package Short Url https://bioconductor.org/packages/fourSynergy/
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