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Bioconductor version: Release (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")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("HiCcompare")
| HTML | R Script | HiCcompare Usage Vignette |
| Reference Manual | ||
| Text | NEWS | |
| Text | LICENSE |
| biocViews | HiC, Normalization, Sequencing, Software |
| Version | 1.0.0 |
| 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 | |
| Build Report |
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 |
| Package Short Url | http://bioconductor.org/packages/HiCcompare/ |
| Package Downloads Report | Download Stats |
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