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HiSpaR

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

All versions 3.24 (devel), 3.23 (release)

Hierarchical Inference of Spatial Positions from Hi-C Data


Bioconductor version: Release (3.23)

Provides R bindings for HiSpa, a hierarchical Bayesian model for inferring three-dimensional chromatin structures from Hi-C contact matrices using Markov Chain Monte Carlo (MCMC) sampling. The package implements a cluster-based hierarchical approach that efficiently handles large-scale Hi-C datasets. It uses Rcpp and RcppArmadillo for efficient C++ integration with the original HiSpa C++ implementation, enabling fast computation of chromatin structure inference through parallel MCMC sampling.

Author: Yingcheng Luo [aut, cre]

Maintainer: Yingcheng Luo <lyc22 at mails.tsinghua.edu.cn>

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

Yingcheng Luo. HiSpaR: Hierarchical Inference of Spatial Positions from Hi-C Data. doi:10.18129/B9.bioc.HiSpaR, R package version 1.0.0, https://bioconductor.org/packages/HiSpaR.

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("HiSpaR")

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("HiSpaR")
Getting Started with HiSpaR HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews Bayesian, Epigenetics, HiC, Software, Spatial, StructuralPrediction
Version1.0.0
In Bioconductor sinceBioC 3.23 (R-4.6) (< 6 months)
License MIT + file LICENSE
Depends R (>= 4.5.0)
Imports Rcpp (>= 1.0.0), utils, stats, Matrix, HiCExperiment
System RequirementsC++17, GNU make, Armadillo (>= 9.0), OpenMP
URLhttps://github.com/masterStormtrooper/HiSpaR
Bug Reportshttps://github.com/masterStormtrooper/HiSpaR/issues
See More
Suggests testthat (>= 3.0.0), knitr, rmarkdown, BiocStyle, rgl, HiContactsData, HiContacts, plotly, callr
Linking To Rcpp, RcppArmadillo
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package HiSpaR_1.0.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64) HiSpaR_1.0.0.tgz
macOS Binary (sonoma-arm64) HiSpaR_1.0.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/HiSpaR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/HiSpaR
Package Short Url https://bioconductor.org/packages/HiSpaR/
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