 
  
 
   
   This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see ChIPSeqSpike.
Bioconductor version: 3.9
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 "3.6") 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 | 1.4.0 | 
| In Bioconductor since | BioC 3.7 (R-3.5) (1.5 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_1.4.0.tar.gz | 
| Windows Binary | ChIPSeqSpike_1.4.0.zip (32- & 64-bit) | 
| Mac OS X 10.11 (El Capitan) | ChIPSeqSpike_1.4.0.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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