jcheng5

library(ggplot2)
library(shiny)

# Call ggbrush with a ggplot2 object, and the dimensions which
# should be brushed (try "xy" for scatter, "x" for histogram).
# The plot will show in RStudio Viewer or your web browser, and
# any observations selected by the user will be returned.
ggbrush <- function(plotExpr, direction = c("xy", "x", "y")) {
  
  # See below for definition of dialogPage function

crashfrog

Dockerizing tools from source

Justin Payne, May 30 2015

Introduction

I get a lot of value out of putting bioinformatics tools in Docker containers, since once they're containerized with an automated build script (called a "Dockerfile") it's really easy to keep them up to date and manage their installations on different machines without their individual dependencies stepping all over each other. It's a really convenient way to try out new tools without taking the risk of borking your carefully-maintained "working" Linux install. Tools like boot2docker make Docker images runnable on non-Linux platforms, as well, resulting in improved portability of tools that might have platform (or even distro) specific dependencies. I've done this a couple of times, now, so I thought I'd share some tips and tricks.