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Bioconductor - spiky

spiky

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

Spike-in calibration for cell-free MeDIP

Bioconductor version: Release (3.21)

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 "4.5") and enter:


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

BiocManager::install("spiky")

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("spiky")
Spiky: Analysing cfMeDIP-seq data with spike-in controls HTML R Script Reference Manual PDF NEWS Text Details biocViews DNAMethylation, DifferentialMethylation, Normalization, Preprocessing, QualityControl, Sequencing, Software Version 1.14.0 In Bioconductor since BioC 3.14 (R-4.1) (3.5 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 See More Package Archives

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


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