splots

DOI: 10.18129/B9.bioc.splots  

Visualization of high-throughput assays in microtitre plate or slide format

Bioconductor version: Release (3.16)

This package is provided to support legacy code and reverse dependencies, but it should not be used as a dependency for new code development. It provides a single function, plotScreen, for visualising data in microtitre plate or slide format. As a better alternative for such functionality, please consider the platetools package on CRAN (https://cran.r-project.org/package=platetools and https://github.com/Swarchal/platetools), or generic ggplot2 graphics functionality.

Author: Wolfgang Huber, Oleg Sklyar

Maintainer: Wolfgang Huber <wolfgang.huber at embl.de>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("splots")

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("splots")

 

HTML	R Script	splots: visualization of data from assays in microtitre plate or slide format
PDF		Reference Manual

Details

biocViews	MicrotitrePlateAssay, Sequencing, Software, Visualization
Version	1.64.0
In Bioconductor since	BioC 1.9 (R-2.4) (16.5 years)
License	LGPL
Depends
Imports	grid, RColorBrewer
LinkingTo
Suggests	BiocStyle, knitr, rmarkdown, assertthat, HD2013SGI
SystemRequirements
Enhances
URL
Depends On Me	cellHTS2, HD2013SGI
Imports Me	RNAinteract
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	splots_1.64.0.tar.gz
Windows Binary	splots_1.64.0.zip
macOS Binary (x86_64)	splots_1.64.0.tgz
macOS Binary (arm64)	splots_1.64.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/splots
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/splots
Bioc Package Browser	https://code.bioconductor.org/browse/splots/
Package Short Url	https://bioconductor.org/packages/splots/
Package Downloads Report	Download Stats