This is the development version of scmeth; for the stable release version, see scmeth.
Functions to conduct quality control analysis in methylation dataBioconductor version: Development (3.22)
Functions to analyze methylation data can be found here. Some functions are relevant for single cell methylation data but most other functions can be used for any methylation data. Highlight of this workflow is the comprehensive quality control report.
Author: Divy Kangeyan <divyswar01 at g.harvard.edu>
Maintainer: Divy Kangeyan <divyswar01 at g.harvard.edu>
Citation (from within R, entercitation("scmeth")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("scmeth")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scmeth")
Details biocViews DNAMethylation, ImmunoOncology, Preprocessing, QualityControl, SingleCell, Software Version 1.29.0 In Bioconductor since BioC 3.7 (R-3.5) (7 years) License GPL-2 Depends R (>= 3.5.0) Imports knitr, rmarkdown, bsseq, AnnotationHub, GenomicRanges, reshape2, stats, utils, BSgenome, DelayedArray(>= 0.5.15), annotatr, SummarizedExperiment(>= 1.5.6), GenomeInfoDb, Biostrings, DT, HDF5Array(>= 1.7.5) System Requirements URL Bug Reports https://github.com/aryeelab/scmeth/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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