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HiSpaR

Hierarchical Inference of Spatial Positions from Hi-C Data

Bioconductor version: 3.23 · Package version: 1.0.0

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.

Installation

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

BiocManager::install("HiSpaR")

Details

MaintainerYingcheng Luo <lyc22@mails.tsinghua.edu.cn>
AuthorYingcheng Luo [aut, cre]
LicenseMIT + file LICENSE
URLhttps://github.com/masterStormtrooper/HiSpaR
Bug Reportshttps://github.com/masterStormtrooper/HiSpaR/issues
System RequirementsC++17, GNU make, Armadillo (>= 9.0), OpenMP
Downloads rank46
Source branchRELEASE_3_23
biocViewsBayesian, Epigenetics, HiC, Software, Spatial, StructuralPrediction

Documentation

Download

Dependencies

Depends: R (>= 4.5.0)

Imports: Rcpp (>= 1.0.0), utils, stats, Matrix, HiCExperiment

LinkingTo: Rcpp, RcppArmadillo

Suggests: testthat (>= 3.0.0), knitr, rmarkdown, BiocStyle, rgl, HiContactsData, HiContacts, plotly, callr