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vmrseq

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

Probabilistic Modeling of Single-cell Methylation Heterogeneity


Bioconductor version: Release (3.23)

High-throughput single-cell measurements of DNA methylation allows studying inter-cellular epigenetic heterogeneity, but this task faces the challenges of sparsity and noise. We present vmrseq, a statistical method that overcomes these challenges and identifies variably methylated regions accurately and robustly.

Author: Ning Shen [aut, cre]

Maintainer: Ning Shen <ning.shen.wk at gmail.com>

Citation (from within R, enter citation("vmrseq")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

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


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

BiocManager::install("vmrseq")

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("vmrseq")
Analyzing single-cell bisulfite sequencing data with vmrseq HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews DNAMethylation, Epigenetics, ImmunoOncology, Sequencing, SingleCell, Software, WholeGenome
Version 1.4.0
In Bioconductor since BioC 3.21 (R-4.5) (1.5 years)
License MIT + file LICENSE
Depends R (>= 4.5.0)
Imports bumphunter, dplyr, BiocParallel, DelayedArray, GenomicRanges, ggplot2, methods, tidyr, locfit, gamlss.dist, recommenderlab, HDF5Array, data.table, SummarizedExperiment, IRanges, S4Vectors, devtools
System Requirements
URL https://github.com/nshen7/vmrseq
Bug Reports https://github.com/nshen7/vmrseq/issues
See More
Suggests knitr, rmarkdown, testthat (>= 3.0.0)
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Depends On Me
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Build Report Build Report

Package Archives

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

Source Package vmrseq_1.4.0.tar.gz
Windows Binary (x86_64) vmrseq_1.4.0.zip
macOS Binary (big-sur-x86_64) vmrseq_1.4.0.tgz
macOS Binary (sonoma-arm64) vmrseq_1.4.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/vmrseq
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/vmrseq
Bioc Package Browser https://code.bioconductor.org/browse/vmrseq/
Package Short Url https://bioconductor.org/packages/vmrseq/
Package Downloads Report Download Stats