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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("EBImage")
In most cases, you don't need to download the package archive at all.
EBImage
Image processing and analysis toolbox for R
Bioconductor version: 3.0
EBImage is an R package which provides general purpose functionality for the reading, writing, processing and analysis of images. Furthermore, in the context of microscopy based cellular assays, EBImage offers tools to transform the images, segment cells and extract quantitative cellular descriptors.
Author: Andrzej Oles, Gregoire Pau, Mike Smith, Oleg Sklyar, Wolfgang Huber, with contributions from Joseph Barry and Philip A. Marais
Maintainer: Andrzej Oles <andrzej.oles at embl.de>
Citation (from within R,
enter citation("EBImage")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("EBImage")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("EBImage")
| R Script | Introduction to EBImage | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Software, Visualization |
| Version | 4.8.3 |
| In Bioconductor since | BioC 1.8 (R-2.3) |
| License | LGPL |
| Depends | |
| Imports | BiocGenerics(>= 0.7.1), methods, graphics, grDevices, stats, abind, tiff, jpeg, png, locfit |
| LinkingTo | |
| Suggests | BiocStyle |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | CRImage, DonaPLLP2013, flowcatchR, HD2013SGI, imageHTS |
| Imports Me | flowCHIC |
| Suggests Me | HilbertVis |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | EBImage_4.8.3.tar.gz |
| Windows Binary | EBImage_4.8.3.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | EBImage_4.8.3.tgz |
| Mac OS X 10.9 (Mavericks) | EBImage_4.8.3.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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