multiHiCcompare
This is the development version of multiHiCcompare; for the stable release version, see multiHiCcompare.
Normalize and detect differences between Hi-C datasets when replicates of each experimental condition are available
Bioconductor version: Development (3.21)
multiHiCcompare provides functions for joint normalization and difference detection in multiple Hi-C datasets. This extension of the original HiCcompare package now allows for Hi-C experiments with more than 2 groups and multiple samples per group. multiHiCcompare operates on processed Hi-C data in the form of sparse upper triangular matrices. It accepts four column (chromosome, region1, region2, IF) tab-separated text files storing chromatin interaction matrices. multiHiCcompare provides cyclic loess and fast loess (fastlo) methods adapted to jointly normalizing Hi-C data. Additionally, it provides a general linear model (GLM) framework adapting the edgeR package to detect differences in Hi-C data in a distance dependent manner.
Author: Mikhail Dozmorov [aut, cre] (ORCID:
Maintainer: Mikhail Dozmorov <mikhail.dozmorov at gmail.com>
citation("multiHiCcompare")
):
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("multiHiCcompare")
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("multiHiCcompare")
juiceboxVisualization | HTML | R Script |
multiHiCcompare | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | HiC, Normalization, Sequencing, Software |
Version | 1.25.0 |
In Bioconductor since | BioC 3.8 (R-3.5) (6 years) |
License | MIT + file LICENSE |
Depends | R (>= 4.0.0) |
Imports | data.table, dplyr, HiCcompare, edgeR, BiocParallel, qqman, pheatmap, methods, GenomicRanges, graphics, stats, utils, pbapply, GenomeInfoDbData, GenomeInfoDb, aggregation |
System Requirements | |
URL | https://github.com/dozmorovlab/multiHiCcompare |
Bug Reports | https://github.com/dozmorovlab/multiHiCcompare/issues |
See More
Suggests | knitr, rmarkdown, testthat, BiocStyle |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | HiCDOC, OHCA |
Suggests Me | HiCcompare |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | multiHiCcompare_1.25.0.tar.gz |
Windows Binary (x86_64) | multiHiCcompare_1.25.0.zip |
macOS Binary (x86_64) | multiHiCcompare_1.25.0.tgz |
macOS Binary (arm64) | multiHiCcompare_1.25.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/multiHiCcompare |
Source Repository (Developer Access) | git clone [email protected]:packages/multiHiCcompare |
Bioc Package Browser | https://code.bioconductor.org/browse/multiHiCcompare/ |
Package Short Url | https://bioconductor.org/packages/multiHiCcompare/ |
Package Downloads Report | Download Stats |