This package is for version 3.16 of Bioconductor.
This package has been removed from Bioconductor.
For the last stable, up-to-date release version, see bigPint.
Big multivariate data plotted interactively
Bioconductor version: 3.16
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 "4.2") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("bigPint")
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("bigPint")
Details
biocViews
Clustering,
DataImport,
DifferentialExpression,
GeneExpression,
MultipleComparison,
Normalization,
Preprocessing,
QualityControl,
RNASeq,
Sequencing,
Software,
Transcription,
Visualization
Version
1.14.0
In Bioconductor since
BioC 3.9 (R-3.6) (5 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)
System Requirements
See More
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)
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Package Archives
Follow Installation instructions to use this package in your R session.
Source Repository
git clone https://git.bioconductor.org/packages/bigPint
Source Repository (Developer Access)
git clone git@git.bioconductor.org:packages/bigPint