bigPint

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 (3.18)

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 gmail.com>

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

Installation

To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("bigPint")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

PDF   Reference Manual

Details

biocViews Clustering, DataImport, DifferentialExpression, GeneExpression, MultipleComparison, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, Software, Transcription, Visualization
Version 1.17.0
In Bioconductor since BioC 3.9 (R-3.6) (4 years)
License GPL-3
Depends R (>= 3.6.0)
Imports DelayedArray(>= 0.12.2), 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), SummarizedExperiment(>= 1.16.1), tidyr (>= 0.7.0), utils (>= 3.5.0)
LinkingTo
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)
SystemRequirements
Enhances
URL https://github.com/lindsayrutter/bigPint
BugReports https://github.com/lindsayrutter/bigPint/issues
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Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/bigPint
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/bigPint
Package Short Url https://bioconductor.org/packages/bigPint/
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