https://github.com/csoneson/iresviewer

https://github.com/csoneson/iresviewer

Last synced: 16 days ago
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• Host: GitHub
• URL: https://github.com/csoneson/iresviewer
• Owner: csoneson
• Created: 2017-09-15T10:04:24.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-10-22T12:04:46.000Z (over 7 years ago)
• Last Synced: 2024-12-18T11:47:10.012Z (about 1 month ago)
• Language: R
• Size: 16.6 KB
• Stars: 1
• Watchers: 4
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
## iResViewer

 **Note: This is work in development, mainly for personal use, and it is provided "as-is", without guarantees of robustness, correctness or optimality. Please use responsibly.**

`iResViewer` is an R package for generating an interactive result visualization for a differential gene expression analysis. 

### Installation

```

## List dependencies

pkg <- c("shiny", "ggplot2", "ggrepel", "dplyr", "tidyr", "Gviz", 

         "DT", "shinydashboard", "GenomicRanges", "IRanges", 

         "rtracklayer", "S4Vectors", "GenomeInfoDb", 

         "BiocGenerics", "devtools")

## Check if dependencies are already installed

pkg <- pkg[!(pkg %in% installed.packages()[, "Package"])]

## If some dependency is missing, install it

if (length(pkg) > 0) {

	source("https://bioconductor.org/biocLite.R")

	biocLite(pkg, dependencies = TRUE, ask = FALSE)

}

## Install iResViewer

devtools::install_github("csoneson/iResViewer")

```