Package: chipseq 1.55.0

Bioconductor Package Maintainer

chipseq: chipseq: A package for analyzing chipseq data

Tools for helping process short read data for chipseq experiments.

Authors:Deepayan Sarkar [aut], Robert Gentleman [aut], Michael Lawrence [aut], Zizhen Yao [aut], Oluwabukola Bamigbade [ctb], Bioconductor Package Maintainer [cre]

chipseq_1.55.0.tar.gz
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chipseq.pdf |chipseq.html✨
chipseq/json (API)

# Install 'chipseq' in R:

install.packages('chipseq', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

cstest - A test ChIP-Seq dataset

On BioConductor:chipseq-1.55.0(bioc 3.20)chipseq-1.54.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

12 exports 2.97 score 54 dependencies 5 dependents 9 mentions

Last updated 2 months agofrom:8bbec21a3b

Exports:basesCovered chipseqFilter coverageplot densityCorr diffPeakSummary estimate.mean.fraglen islandDepthPlot laneSubsample peakCutoff peakSummary sparse.density subsetSummary

Dependencies:abind askpass BH Biobase BiocGenerics BiocParallel Biostrings bitops codetools cpp11 crayon curl DelayedArray deldir formatR futile.logger futile.options GenomeInfoDb GenomeInfoDbData GenomicAlignments GenomicRanges httr hwriter interp IRanges jpeg jsonlite lambda.r lattice latticeExtra MASS Matrix MatrixGenerics matrixStats mime openssl png pwalign R6 RColorBrewer Rcpp RcppEigen Rhtslib Rsamtools S4Arrays S4Vectors ShortRead snow SparseArray SummarizedExperiment sys UCSC.utils XVector zlibbioc

Some Basic Analysis of ChIP-Seq Data

Oluwabukola Bamigbade

Rendered fromWorkflow.Rmdusingknitr::rmarkdownon Jul 03 2024.

Last update: 2023-04-13
Started: 2023-04-13

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Filtering ChIP-seq reads	chipseqFilter
Plot coverage on a small interval.	coverageplot
A test ChIP-Seq dataset	cstest
A function to identify and produce summary statistics for differentially expressed peaks.	diffPeakSummary diffPeakSummary,RleViewsList,RleViewsList-method
Estimate summaries of the distribution of fragment lengths in a short-read experiment. The methods are designed for ChIP-Seq experiments and may not work well in data without peaks.	basesCovered densityCorr densityCorr,GenomicRanges densityCorr,list estimate.mean.fraglen estimate.mean.fraglen,AlignedRead-method estimate.mean.fraglen,GRanges-method sparse.density
Plot island depth distribution	islandDepthPlot
Subsample short read alignment locations	laneSubsample
Calculate a peak cutoff	peakCutoff
Summarizing peak sets	peakSummary peakSummary,RleViews-method peakSummary,RleViewsList-method peakSummary-methods
Compute summaries for cumulative subsets of a short-read data set.	subsetSummary