To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("splots")
In most cases, you don't need to download the package archive at all.
splots
Visualization of high-throughput assays in microtitre plate or slide format
Bioconductor version: 3.0
The splots package provides the plotScreen function for visualising data in microtitre plate or slide format.
Author: Wolfgang Huber, Oleg Sklyar
Maintainer: Wolfgang Huber <whuber at embl.de>
Citation (from within R,
enter citation("splots")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("splots")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("splots")
| R Script | Visualization of data from assays in microtitre plate or slide format | |
| Reference Manual |
Details
| biocViews | MicrotitrePlateAssay, Sequencing, Software, Visualization |
| Version | 1.32.0 |
| In Bioconductor since | BioC 1.9 (R-2.4) |
| License | LGPL |
| Depends | |
| Imports | grid, RColorBrewer |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | cellHTS2, HD2013SGI |
| Imports Me | RNAinteract, RNAither |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | splots_1.32.0.tar.gz |
| Windows Binary | splots_1.32.0.zip |
| Mac OS X 10.6 (Snow Leopard) | splots_1.32.0.tgz |
| Mac OS X 10.9 (Mavericks) | splots_1.32.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
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