This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see methylscaper.
Bioconductor version: 3.13
methylscaper is an R package for processing and visualizing data jointly profiling methylation and chromatin accessibility (MAPit, NOMe-seq, scNMT-seq, nanoNOMe, etc.). The package supports both single-cell and single-molecule data, and a common interface for jointly visualizing both data types through the generation of ordered representational methylation-state matrices. The Shiny app allows for an interactive seriation process of refinement and re-weighting that optimally orders the cells or DNA molecules to discover methylation patterns and nucleosome positioning.
Author: Bacher Rhonda [aut, cre], Parker Knight [aut]
Maintainer: Bacher Rhonda <rbacher at ufl.edu>
Citation (from within R,
enter citation("methylscaper")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("methylscaper")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("methylscaper")
HTML | R Script | Using methylscaper to visualize joint methylation and nucleosome occupancy data |
Reference Manual | ||
Text | NEWS |
biocViews | DNAMethylation, Epigenetics, NucleosomePositioning, PrincipalComponent, SingleCell, Software, Visualization |
Version | 1.0.1 |
In Bioconductor since | BioC 3.13 (R-4.1) (< 6 months) |
License | GPL-2 |
Depends | R (>= 4.1.0) |
Imports | shiny, shinyjs, seriation, BiocParallel, seqinr, Biostrings, Rfast, grDevices, graphics, stats, utils, tools, methods, shinyFiles, data.table, SummarizedExperiment |
LinkingTo | |
Suggests | knitr, rmarkdown, devtools |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | methylscaper_1.0.1.tar.gz |
Windows Binary | methylscaper_1.0.1.zip |
macOS 10.13 (High Sierra) | methylscaper_1.0.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/methylscaper |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/methylscaper |
Package Short Url | https://bioconductor.org/packages/methylscaper/ |
Package Downloads Report | Download Stats |
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