Bioconductor 3.23 Release Schedule

HiSpaR

This is the development version of HiSpaR; to use it, please install the devel version of Bioconductor.

Hierarchical Inference of Spatial Positions from Hi-C Data


Bioconductor version: Development (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")):

Installation

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


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("HiSpaR")

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

Documentation

Reference Manual PDF

Details

biocViews Bayesian, Epigenetics, HiC, Software, Spatial, StructuralPrediction
Version 0.99.5
In Bioconductor since BioC 3.23 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.5.0)
Imports Rcpp (>= 1.0.0), utils, stats, Matrix, HiCExperiment
System Requirements C++17, GNU make, Armadillo (>= 9.0), OpenMP
URL https://github.com/masterStormtrooper/HiSpaR
Bug Reports https://github.com/masterStormtrooper/HiSpaR/issues
See More
Suggests testthat (>= 3.0.0), knitr, rmarkdown, rgl, HiContactsData, HiContacts, Matrix, plotly, callr
Linking To Rcpp, RcppArmadillo
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
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Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (big-sur-arm64)
macOS Binary (sonoma-arm64)
Source Repository git 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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