HiCcompare

This package is for version 3.6 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: 3.6

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>

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

Installation

To install this package, start R (version "3.4") and enter:


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

BiocManager::install("HiCcompare")

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

Documentation

Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews HiC, Normalization, Sequencing, Software
Version 1.0.0
In Bioconductor since BioC 3.6 (R-3.4) (6.5 years)
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
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Package Archives

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

Source Package HiCcompare_1.0.0.tar.gz
Windows Binary HiCcompare_1.0.0.zip
Mac OS X 10.11 (El Capitan) HiCcompare_1.0.0.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 https://bioconductor.org/packages/HiCcompare/
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Old Source Packages for BioC 3.6 Source Archive