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Bioconductor 3.22 Released

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diffHic

This is thereleased version of diffHic; for the devel version, seediffHic.

Differential Analysis of Hi-C Data

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DOI: 10.18129/B9.bioc.diffHic


Bioconductor version: Release (3.22)

Detects differential interactions across biological conditions in a Hi-C experiment. Methods are provided for read alignment and data pre-processing into interaction counts. Statistical analysis is based on edgeR and supports normalization and filtering. Several visualization options are also available.

Author: Aaron Lun, Gordon Smyth

Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at gmail.com>, Gordon Smyth <smyth at wehi.edu.au>, Hannah Coughlin <coughlin.h at wehi.edu.au>

Citation (from within R, entercitation("diffHic")):

Installation

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

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

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

Documentation

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

browseVignettes("diffHic")
diffHic VignettePDF
diffHicUsersGuide.pdfPDF
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsAlignment,Clustering,Coverage,HiC,MultipleComparison,Normalization,Preprocessing,Sequencing,Software
Version1.42.0
In Bioconductor sinceBioC 3.1 (R-3.2) (10.5 years)
LicenseGPL-3
DependsR (>= 3.5),GenomicRanges,InteractionSet,SummarizedExperiment
ImportsRsamtools,Rhtslib,Biostrings,BSgenome,rhdf5,edgeR,limma,csaw,locfit, methods,IRanges,S4Vectors,GenomeInfoDb,BiocGenerics, grDevices, graphics, stats, utils,Rcpp,rtracklayer
System RequirementsC++, GNU make
URL
See More
SuggestsBSgenome.Ecoli.NCBI.20080805,Matrix,testthat
Linking ToRhtslib(>= 1.13.1),Rcpp
Enhances
Depends On Me
Imports MeOHCA,hicream
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagediffHic_1.42.0.tar.gz
Windows Binary (x86_64) diffHic_1.42.0.zip
macOS Binary (x86_64)diffHic_1.42.0.tgz
macOS Binary (arm64)diffHic_1.42.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/diffHic
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/diffHic
Bioc Package Browserhttps://code.bioconductor.org/browse/diffHic/
Package Short Urlhttps://bioconductor.org/packages/diffHic/
Package Downloads ReportDownload Stats

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