EpiCompare
This is the released version of EpiCompare; for the devel version, see EpiCompare.
Comparison, Benchmarking & QC of Epigenomic Datasets
Bioconductor version: Release (3.20)
EpiCompare is used to compare and analyse epigenetic datasets for quality control and benchmarking purposes. The package outputs an HTML report consisting of three sections: (1. General metrics) Metrics on peaks (percentage of blacklisted and non-standard peaks, and peak widths) and fragments (duplication rate) of samples, (2. Peak overlap) Percentage and statistical significance of overlapping and non-overlapping peaks. Also includes upset plot and (3. Functional annotation) functional annotation (ChromHMM, ChIPseeker and enrichment analysis) of peaks. Also includes peak enrichment around TSS.
Author: Sera Choi [aut] , Brian Schilder [aut] , Leyla Abbasova [aut], Alan Murphy [aut] , Nathan Skene [aut] , Thomas Roberts [ctb], Hiranyamaya Dash [cre]
Maintainer: Hiranyamaya Dash <hdash.work at gmail.com>
citation("EpiCompare")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("EpiCompare")
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("EpiCompare")
docker | HTML | R Script |
EpiCompare | HTML | R Script |
example_report | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | ATACSeq, ChIPSeq, DNaseSeq, Epigenetics, FunctionalGenomics, Genetics, MultipleComparison, QualityControl, Software |
Version | 1.10.0 |
In Bioconductor since | BioC 3.15 (R-4.2) (2.5 years) |
License | GPL-3 |
Depends | R (>= 4.2.0) |
Imports | AnnotationHub, ChIPseeker, data.table, genomation, GenomicRanges, IRanges, GenomeInfoDb, ggplot2 (>= 3.5.0), htmltools, methods, plotly, reshape2, rmarkdown, rtracklayer, stats, stringr, utils, BiocGenerics, downloadthis, parallel |
System Requirements | |
URL | https://github.com/neurogenomics/EpiCompare |
Bug Reports | https://github.com/neurogenomics/EpiCompare/issues |
See More
Suggests | rworkflows, BiocFileCache, BiocParallel, BiocStyle, clusterProfiler, GenomicAlignments, grDevices, knitr, org.Hs.eg.db, testthat (>= 3.0.0), tidyr, TxDb.Hsapiens.UCSC.hg19.knownGene, TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Mmusculus.UCSC.mm9.knownGene, TxDb.Mmusculus.UCSC.mm10.knownGene, BSgenome.Hsapiens.UCSC.hg19, BSgenome.Hsapiens.UCSC.hg38, BSgenome.Mmusculus.UCSC.mm9, BSgenome.Mmusculus.UCSC.mm10, ComplexUpset, plyranges, scales, Matrix, consensusSeekeR, heatmaply, viridis |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | EpiCompare_1.10.0.tar.gz |
Windows Binary (x86_64) | EpiCompare_1.10.0.zip |
macOS Binary (x86_64) | EpiCompare_1.10.0.tgz |
macOS Binary (arm64) | EpiCompare_1.10.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/EpiCompare |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/EpiCompare |
Bioc Package Browser | https://code.bioconductor.org/browse/EpiCompare/ |
Package Short Url | https://bioconductor.org/packages/EpiCompare/ |
Package Downloads Report | Download Stats |