circlize: Circular Visualization

Circular layout is an efficient way for the visualization of huge amounts of information. Here this package provides an implementation of circular layout generation in R as well as an enhancement of available software. The flexibility of the package is based on the usage of low-level graphics functions such that self-defined high-level graphics can be easily implemented by users for specific purposes. Together with the seamless connection between the powerful computational and visual environment in R, it gives users more convenience and freedom to design figures for better understanding complex patterns behind multiple dimensional data. The package is described in Gu et al. 2014 <doi:10.1093/bioinformatics/btu393>.

Version: 0.4.16
Depends: R (≥ 4.0.0), graphics
Imports: GlobalOptions (≥ 0.1.2), shape, grDevices, utils, stats, colorspace, methods, grid
Suggests: knitr, dendextend (≥ 1.0.1), ComplexHeatmap (≥ 2.0.0), gridBase, png, markdown, bezier, covr, rmarkdown
Published: 2024-02-20
DOI: 10.32614/CRAN.package.circlize
Author: Zuguang Gu ORCID iD [aut, cre]
Maintainer: Zuguang Gu < at>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: circlize citation info
Materials: NEWS
CRAN checks: circlize results


Reference manual: circlize.pdf
Vignettes: circlize vignette


Package source: circlize_0.4.16.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): circlize_0.4.16.tgz, r-oldrel (arm64): circlize_0.4.16.tgz, r-release (x86_64): circlize_0.4.16.tgz, r-oldrel (x86_64): circlize_0.4.16.tgz
Old sources: circlize archive

Reverse dependencies:

Reverse depends: countToFPKM, gmoviz, MetCirc, yarrr
Reverse imports: abseqR, acc, AMARETTO, artMS, ASURAT, avidaR, bandle, barcodetrackR, BasketballAnalyzeR, BeeBDC, bettr, bfw, blacksheepr, BloodGen3Module, bulkAnalyseR, canceR, capm, CATALYST, CCPlotR, celda, CeTF, CHRONOS, CINNA, ClustAll, coda4microbiome, cola, comapr, ComplexHeatmap, corrViz, COTAN, CRISPRball, CTexploreR, cytoKernel, dcanr, DEGreport, DEP, DEsubs, diffcyt, dinoR, ELMER, EnrichedHeatmap, epiregulon.extra, ethnobotanyR, FLAMES, ForecastTB, GALLO, GeneTonic, GenomicPlot, gfer, ggpicrust2, gINTomics, GRaNIE, GSSTDA, gtrellis, hermes, HilbertCurve, hoodscanR, immunarch, InterCellar, iSEE, ITNr, karyotapR, LymphoSeq, MAPFX, MesKit, migest, missoNet, MitoHEAR, MKomics, mldr, MOMA, monaLisa, Moonlight2R, MoonlightR, multistateQTL, OpenLand, pathlinkR, PeacoQC, pgxRpi, PhosR, pipeComp, profileplyr, recoup, RepertoiR, rexposome, rGREAT, rKOMICS, rliger, RNAseqQC, RPointCloud, RVA, scCustomize, scITD, scRNAseqApp, sechm, SEtools, sigQC, simona, simplifyEnrichment, SingleCellSignalR, singleCellTK, socialh, sparrow, spiralize, tidyHeatmap, TOmicsVis, TRONCO, viscomp, visxhclust, wilson, YAPSA
Reverse suggests: bambu, CIARA, CNVScope, dendextend, eclust, gap, GenomicSuperSignature, grandR, HMP16SData, inferCSN, InteractiveComplexHeatmap, ISAnalytics, martini, MetaNet, MiscMetabar, NanoporeRNASeq, nipalsMCIA, pareg, pathwayPCA, pcutils, scDblFinder, SCpubr, scRepertoire, seewave, sharpshootR, sigminer, svaNUMT, svaRetro, TBSignatureProfiler, TCGAbiolinks, tinyarray


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