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Mutsneedle: An R package to generating interactive lolipop plots

Mutsneedle is an R version of the MutsNeedlePlot package developed by Michael Schroeder https://github.com/mpschr In many bioinformatics/genomics task involving mutation inspection it is quite useful to explore the significant of certain alterations to a protein sequence.

Installation

Firstly download and Install the package using devtools

library(devtools)
library(htmlwidgets)
install_github("freezecoder/mutsneedle")

It may not be necessary to include htmlwidgets with mutsneedle but this has not been tested.

Usage

The mutsneedle function expects a data frame of mutation information for a particular gene. It can also accept domain/region information to annotate the lolipop plot.

mutsneedle(mutdata=exampleData(),domains=exampleRegionData())

Rstudio mutsneedle

The mutdata input is an R data frame with the colums:

  • coord - A string coordinate e.g. "11" , "1-10" are both valid
  • category - String describing the category of the mutation
  • value - numeric value

Other columns may be present in the dataframe but they will be ignored.

You may also insert a gene and transcript ID into the plot using the 'gene' and 'transcript' args to the mutsneedle function.

Usage in a Shiny App

The app is quite easy to call in Shiny thanks to the wonderful htmlwidgets package

library(shiny)
library(mutsneedle)
library(htmlwidgets)

shinyApp(
   ui = mutsneedleOutput("id",width=800,height=500),
   server = function(input, output) {
     output$id <- renderMutsneedle(
        data <- exampleMutationData()
        regiondata <- exampleRegionData()
       mutsneedle(mutdata=data,domains=regiondata)
     )
   }
 )

More info Mutations Needle Plot (muts-needle-plot)

A needle-plot (aka stem-plot or lollipop-plot) plots each data point as a big dot and adds a vertical line that makes it appear like a needle.

DOI

This software is citable! Different citation styles available at *http://dx.doi.org/*+DOI

Availability

Image of a Needle-Plot

Examples (snippets)

This library is can be found as npm-library in the BioJS registry.

Thus examples can bee seen at the biojs.net registry: http://biojs.net/

Issues

Original credit goes to Michael Schroeder and his group for the javascript version.

The R/HTMLWidgets credit is done by

Zayed Albertyn