This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see ChIPSeqSpike.
Bioconductor version: 3.12
Chromatin Immuno-Precipitation followed by Sequencing (ChIP-Seq) is used to determine the binding sites of any protein of interest, such as transcription factors or histones with or without a specific modification, at a genome scale. The many steps of the protocol can introduce biases that make ChIP-Seq more qualitative than quantitative. For instance, it was shown that global histone modification differences are not caught by traditional downstream data normalization techniques. A case study reported no differences in histone H3 lysine-27 trimethyl (H3K27me3) upon Ezh2 inhibitor treatment. To tackle this problem, external spike-in control were used to keep track of technical biases between conditions. Exogenous DNA from a different non-closely related species was inserted during the protocol to infer scaling factors that enabled an accurate normalization, thus revealing the inhibitor effect. ChIPSeqSpike offers tools for ChIP-Seq spike-in normalization. Ready to use scaled bigwig files and scaling factors values are obtained as output. ChIPSeqSpike also provides tools for ChIP-Seq spike-in assessment and analysis through a versatile collection of graphical functions.
Author: Nicolas Descostes
Maintainer: Nicolas Descostes <nicolas.descostes at gmail.com>
Citation (from within R,
enter citation("ChIPSeqSpike")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("ChIPSeqSpike")
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("ChIPSeqSpike")
R Script | ChIPSeqSpike | |
Reference Manual | ||
Text | NEWS |
biocViews | ChIPSeq, Coverage, DataImport, DifferentialMethylation, Epigenetics, HistoneModification, ImmunoOncology, Normalization, Sequencing, Software, Transcription |
Version | 1.9.0 |
In Bioconductor since | BioC 3.7 (R-3.5) (3 years) |
License | Artistic-2.0 |
Depends | R (>= 3.5), rtracklayer(>= 1.37.6) |
Imports | tools, stringr, Rsamtools, GenomicRanges, IRanges, seqplots, ggplot2, LSD, corrplot, methods, stats, grDevices, graphics, utils, BiocGenerics, S4Vectors |
LinkingTo | |
Suggests | BiocStyle, knitr, rmarkdown, testthat |
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 | ChIPSeqSpike_1.9.0.tar.gz |
Windows Binary | ChIPSeqSpike_1.10.0.zip |
macOS 10.13 (High Sierra) | ChIPSeqSpike_1.9.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/ChIPSeqSpike |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/ChIPSeqSpike |
Package Short Url | https://bioconductor.org/packages/ChIPSeqSpike/ |
Package Downloads Report | Download Stats |
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