HiCcompare

DOI: 10.18129/B9.bioc.HiCcompare    

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see HiCcompare.

HiCcompare: Joint normalization and comparative analysis of multiple Hi-C datasets

Bioconductor version: 3.7

HiCcompare provides functions for joint normalization and difference detection in multiple Hi-C datasets. HiCcompare operates on processed Hi-C data in the form of chromosome-specific chromatin interaction matrices. It accepts three-column tab-separated text files storing chromatin interaction matrices in a sparse matrix format which are available from several sources. HiCcompare is designed to give the user the ability to perform a comparative analysis on the 3-Dimensional structure of the genomes of cells in different biological states.`HiCcompare` differs from other packages that attempt to compare Hi-C data in that it works on processed data in chromatin interaction matrix format instead of pre-processed sequencing data. In addition, `HiCcompare` provides a non-parametric method for the joint normalization and removal of biases between two Hi-C datasets for the purpose of comparative analysis. `HiCcompare` also provides a simple yet robust permutation method for detecting differences between Hi-C datasets.

Author: John Stansfield [aut, cre], Mikhail Dozmorov [aut]

Maintainer: John Stansfield <stansfieldjc at vcu.edu>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("HiCcompare")

Documentation

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

browseVignettes("HiCcompare")

 

HTML	R Script	HiCcompare Usage Vignette
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	HiC, Normalization, Sequencing, Software
Version	1.2.0
License	MIT + file LICENSE
Depends	R (>= 3.4.0), dplyr
Imports	data.table, ggplot2, gridExtra, mgcv, stats, InteractionSet, GenomicRanges, IRanges, S4Vectors, BiocParallel, QDNAseq, KernSmooth, methods, utils, graphics, pheatmap, gtools
LinkingTo
Suggests	knitr, rmarkdown, testthat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	HiCcompare_1.2.0.tar.gz
Windows Binary	HiCcompare_1.2.0.zip
Mac OS X 10.11 (El Capitan)	HiCcompare_1.2.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/HiCcompare
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/HiCcompare
Package Short Url	http://bioconductor.org/packages/HiCcompare/
Package Downloads Report	Download Stats