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GOTHiC

This is the released version of GOTHiC; for the devel version, see GOTHiC.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14

Binomial test for Hi-C data analysis


Bioconductor version: Release (3.23)

This is a Hi-C analysis package using a cumulative binomial test to detect interactions between distal genomic loci that have significantly more reads than expected by chance in Hi-C experiments. It takes mapped paired NGS reads as input and gives back the list of significant interactions for a given bin size in the genome.

Author: Borbala Mifsud and Robert Sugar

Maintainer: Borbala Mifsud <b.mifsud at qmul.ac.uk>

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

Borbala Mifsud and Robert Sugar. GOTHiC: Binomial test for Hi-C data analysis. doi:10.18129/B9.bioc.GOTHiC, R package version 1.48.0, https://bioconductor.org/packages/GOTHiC.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("GOTHiC")

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("GOTHiC")
package_vignettes.pdf PDF R Script
Reference ManualPDF

Details

biocViews Epigenetics, HiC, ImmunoOncology, Preprocessing, Sequencing, Software
Version1.48.0
In Bioconductor sinceBioC 2.14 (R-3.1) (12.5 years)
License GPL-3
Depends R (>= 3.5.0), methods, GenomicRanges, Biostrings, BSgenome, data.table
Imports BiocGenerics, S4Vectors (>= 0.9.38), IRanges, Rsamtools, ShortRead, rtracklayer, ggplot2, BiocManager, grDevices, utils, stats, Seqinfo
System Requirements
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Suggests HiCDataLymphoblast
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Enhances parallel
Depends On Me
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Package Archives

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

Source Package GOTHiC_1.48.0.tar.gz
Windows Binary (x86_64) GOTHiC_1.48.0.zip
macOS Binary (big-sur-x86_64) GOTHiC_1.48.0.tgz
macOS Binary (sonoma-arm64) GOTHiC_1.48.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/GOTHiC
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/GOTHiC
Package Short Url https://bioconductor.org/packages/GOTHiC/
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