DOI: 10.18129/B9.bioc.bigPint    

This is the development version of bigPint; for the stable release version, see bigPint.

Big multivariate data plotted interactively

Bioconductor version: Development (3.11)

Methods for visualizing large multivariate datasets using static and interactive scatterplot matrices, parallel coordinate plots, volcano plots, and litre plots. Includes examples for visualizing RNA-sequencing datasets and differentially expressed genes.

Author: Lindsay Rutter [aut, cre], Dianne Cook [aut]

Maintainer: Lindsay Rutter <lindsayannerutter at>

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


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HTML R Script Alternatives to data metrics object
HTML R Script bigPint Vignette
HTML R Script Creating data metrics object
HTML R Script Data metrics object
HTML R Script Data object
HTML R Script Hierarchical clustering
HTML R Script Installation
HTML R Script Introduction to bigPint plots
HTML R Script Producing interactive plots
HTML R Script Producing static plots
HTML R Script Recommended RNA-seq pipeline
HTML R Script Research paper
PDF   Reference Manual


biocViews Clustering, DataImport, DifferentialExpression, GeneExpression, MultipleComparison, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, Software, Transcription, Visualization
Version 1.3.0
In Bioconductor since BioC 3.9 (R-3.6) (1 year)
License GPL-3
Depends R (>= 3.6.0)
Imports dplyr (>= 0.7.2), GGally (>= 1.3.2), ggplot2 (>= 2.2.1), graphics (>= 3.5.0), grDevices (>= 3.5.0), grid (>= 3.5.0), gridExtra (>= 2.3), hexbin (>= 1.27.1), Hmisc (>= 4.0.3), htmlwidgets (>= 0.9), methods (>= 3.5.2), plotly (>= 4.7.1), plyr (>= 1.8.4), RColorBrewer (>= 1.1.2), reshape (>= 0.8.7), shiny (>= 1.0.5), shinycssloaders (>= 0.2.0), shinydashboard (>= 0.6.1), stats (>= 3.5.0), stringr (>= 1.3.1), tidyr (>= 0.7.0), utils (>= 3.5.0)
Suggests BiocGenerics(>= 0.29.1), data.table (>= 1.11.8), EDASeq(>= 2.14.0), edgeR(>= 3.22.2), gtools (>= 3.5.0), knitr (>= 1.13), matrixStats (>= 0.53.1), rmarkdown (>= 1.10), roxygen2 (>= 3.0.0), RUnit (>= 0.4.32), tibble (>= 1.4.2)
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