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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("interactiveDisplayBase")
In most cases, you don't need to download the package archive at all.
interactiveDisplayBase
Base package for enabling powerful shiny web displays of Bioconductor objects
Bioconductor version: 3.0
The interactiveDisplayBase package contains the the basic methods needed to generate interactive Shiny based display methods for Bioconductor objects.
Author: Shawn Balcome, Marc Carlson
Maintainer: Shawn Balcome <balc0022 at umn.edu>
Citation (from within R,
enter citation("interactiveDisplayBase")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("interactiveDisplayBase")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("interactiveDisplayBase")
| HTML | R Script | Using interactiveDisplayBase for Bioconductor object visualization and modification |
| Reference Manual |
Details
| biocViews | AnnotationData, Classification, DataRepresentation, GO, GUI, GeneExpression, Genetics, Microarray, Network, QualityControl, Sequencing, Software, Visualization |
| Version | 1.4.0 |
| In Bioconductor since | BioC 3.0 (R-3.1) |
| License | Artistic-2.0 |
| Depends | R (>= 2.10), methods, BiocGenerics |
| Imports | shiny |
| LinkingTo | |
| Suggests | knitr |
| SystemRequirements | |
| Enhances | rstudio |
| URL | |
| Depends On Me | |
| Imports Me | interactiveDisplay |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | interactiveDisplayBase_1.4.0.tar.gz |
| Windows Binary | interactiveDisplayBase_1.4.0.zip |
| Mac OS X 10.6 (Snow Leopard) | interactiveDisplayBase_1.4.0.tgz |
| Mac OS X 10.9 (Mavericks) | interactiveDisplayBase_1.4.0.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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