Bioconductor version: Release (3.13)
Memory efficient analysis of base resolution DNA methylation data in both the CpG and non-CpG sequence context. Integration of DNA methylation data derived from any methodology providing base- or low-resolution data.
Author: Kamal Kishore
Maintainer: Kamal Kishore <kamal.fartiyal84 at gmail.com>
Citation (from within R,
enter citation("methylPipe")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("methylPipe")
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("methylPipe")
R Script | methylPipe.pdf | |
Reference Manual | ||
Text | NEWS |
biocViews | Coverage, DNAMethylation, MethylSeq, Sequencing, Software |
Version | 1.26.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (7 years) |
License | GPL(>=2) |
Depends | R (>= 3.2.0), methods, grDevices, graphics, stats, utils, GenomicRanges, SummarizedExperiment(>= 0.2.0), Rsamtools |
Imports | marray, gplots, IRanges, BiocGenerics, Gviz, GenomicAlignments, Biostrings, parallel, data.table, GenomeInfoDb, S4Vectors |
LinkingTo | |
Suggests | BSgenome.Hsapiens.UCSC.hg18, TxDb.Hsapiens.UCSC.hg18.knownGene, knitr, MethylSeekR |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | ListerEtAlBSseq |
Imports Me | compEpiTools |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | methylPipe_1.26.0.tar.gz |
Windows Binary | methylPipe_1.26.0.zip |
macOS 10.13 (High Sierra) | methylPipe_1.26.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/methylPipe |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/methylPipe |
Package Short Url | https://bioconductor.org/packages/methylPipe/ |
Package Downloads Report | Download Stats |
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