Merge branch 'shinyApp'

.gitignore

@@ -4,3 +4,4 @@
 .Ruserdata
 *.Rproj
 .DS_Store
+*.pdf

README.md

@@ -9,8 +9,9 @@ It has also been adapted for work on a collaboration with Ryan O'Shaughnessy
 
 The repository has the following structure:
 
-data/     - source data   
+app/      - Shiny app for visualising gene expression
 bin/      - scripts for processing the source data  
+data/     - source data   
 CITATION  - information on how to cite this work  
 README.md - information on the code and data (this file)  
 LICENCE   - information on the licencing of the code  
@@ -26,6 +27,8 @@ following R packages installed:
   edgeR (tested with 3.14.0)  
   sqldf (tested with 0.4.10)  
   gplots (tested with 3.0.1)  
+
+For the Shiny App the `shiny` R library will also be required.
 
 R version 3.3.0 was used during development (but should work with anything newer than 2.15.1).
 
@@ -61,3 +64,14 @@ in a cohort of Irish peadiatric eczema cases in comparison to their filaggrin, F
 The simplest way to use the code is via the Quickstart guide above, but each script found under 
 bin/ can run be individually if you know what you're doing. Code has some in-line comments.
 
+ Shiny App
+-----------
+
+A utility webapp has also been developed with RStudio's Shiny framework to perform gene-specific searches of expression profiles between cases and controls or stratified by FLG genotype.
+
+To run the Shiny App do the following:
+
+  1. Clone this repository into [a new RStudio project](https://happygitwithr.com/rstudio-git-github.html#clone-the-new-github-repository-to-your-computer-via-rstudio)
+  2. Open the `app\DRSexpr\app.R` file
+  3. Click the 'Run App' button
+