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Plot profiles of next generation sequencing data in genomic features

Bioconductor version: Release (3.19)

Visualization of next generation sequencing (NGS) data is essential for interpreting high-throughput genomics experiment results. 'GenomicPlot' facilitates plotting of NGS data in various formats (bam, bed, wig and bigwig); both coverage and enrichment over input can be computed and displayed with respect to genomic features (such as UTR, CDS, enhancer), and user defined genomic loci or regions. Statistical tests on signal intensity within user defined regions of interest can be performed and represented as boxplots or bar graphs. Parallel processing is used to speed up computation on multicore platforms. In addition to genomic plots which is suitable for displaying of coverage of genomic DNA (such as ChIPseq data), metagenomic (without introns) plots can also be made for RNAseq or CLIPseq data as well.

Author: Shuye Pu [aut, cre]

Maintainer: Shuye Pu <shuye2009 at>

Citation (from within R, enter citation("GenomicPlot")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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:

GenomicPlot_vignettes.html HTML R Script
Reference Manual PDF


biocViews AlternativeSplicing, Annotation, ChIPSeq, Coverage, GeneExpression, RNASeq, Sequencing, Software, Transcription, Visualization
Version 1.2.3
In Bioconductor since BioC 3.18 (R-4.3) (0.5 years)
License GPL-2
Depends R (>= 4.4.0), GenomicRanges(>= 1.46.1)
Imports methods, Rsamtools, parallel, tidyr, rtracklayer(>= 1.54.0), plyranges(>= 1.14.0), cowplot (>= 1.1.1), VennDiagram, ggplotify, GenomeInfoDb, IRanges, ComplexHeatmap, RCAS(>= 1.20.0), scales (>= 1.2.0), GenomicAlignments(>= 1.30.0), edgeR, circlize, viridis, ggsignif (>= 0.6.3), ggsci (>= 2.9), ggpubr, grDevices, graphics, stats, utils, GenomicFeatures, genomation(>= 1.36.0), txdbmaker, ggplot2 (>= 3.3.5), BiocGenerics, dplyr, grid
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Follow Installation instructions to use this package in your R session.

Source Package GenomicPlot_1.2.3.tar.gz
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macOS Binary (x86_64) GenomicPlot_1.2.3.tgz
macOS Binary (arm64) GenomicPlot_1.2.3.tgz
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Source Repository (Developer Access) git clone
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