spiky

This is the development version of spiky; for the stable release version, see spiky.

Spike-in calibration for cell-free MeDIP

Bioconductor version: Development (3.19)

spiky implements methods and model generation for cfMeDIP (cell-free methylated DNA immunoprecipitation) with spike-in controls. CfMeDIP is an enrichment protocol which avoids destructive conversion of scarce template, making it ideal as a "liquid biopsy," but creating certain challenges in comparing results across specimens, subjects, and experiments. The use of synthetic spike-in standard oligos allows diagnostics performed with cfMeDIP to quantitatively compare samples across subjects, experiments, and time points in both relative and absolute terms.

Author: Samantha Wilson [aut], Lauren Harmon [aut], Tim Triche [aut, cre]

Maintainer: Tim Triche <trichelab at gmail.com>

Citation (from within R, enter citation("spiky")):

Installation

To install this package, start R (version "4.4") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("spiky")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation


Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	DNAMethylation, DifferentialMethylation, Normalization, Preprocessing, QualityControl, Sequencing, Software
Version	1.9.0
In Bioconductor since	BioC 3.14 (R-4.1) (2.5 years)
License	GPL-2
Depends	Rsamtools, GenomicRanges, R (>= 3.6.0)
Imports	stats, scales, bamlss, methods, tools, IRanges, Biostrings, GenomicAlignments, BlandAltmanLeh, GenomeInfoDb, BSgenome, S4Vectors, graphics, ggplot2, utils
System Requirements
URL	https://github.com/trichelab/spiky
Bug Reports	https://github.com/trichelab/spiky/issues

Suggests	covr, testthat, rmarkdown, markdown, knitr, devtools, BSgenome.Mmusculus.UCSC.mm10.masked, BSgenome.Hsapiens.UCSC.hg38.masked, BiocManager
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Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/spiky
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/spiky
Package Short Url	https://bioconductor.org/packages/spiky/
Package Downloads Report	Download Stats