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This project, which only has a command line interface, is the foundation for R-Peridot-GUI

R-Peridot

Software for intuitively doing Differential Gene Expression (DGE) analysis on Windows and GNU\Linux, based on R packages.

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The Input

A plain text CSV/TSV table with genes/transcripts as rows and samples as columns, in which the values of the cells are read counts from RNA-Seq or Microarray experiments.

The Idea

Abstracting the use of R packages by treating them as modules. Basically, the user only has to choose which modules he wants to use and R-Peridot takes care of the rest.

What it can do

R-Peridot uses several Bioconductor packages for DGE analysis: DESeq, DESeq2, EBSeq, edgeR and sSeq. Each of these is use its own methodologies to find Differentially Expressed Genes (DEGs) among the ones in the input.

The results of these is used to create differential expression consensus, with the intersection of all sets of DEGs. After that our software generates several graphs including Heat Maps, Dendrogram, PCA, Cluster Profiler and KEGG charts.

Modules

The power of R-Peridot is only defined by its modules. Feel free to contribute with new modules that can create new results.

R-Peridot Modules Repository: r-peridot-scripts

How to use

First, clone this repository:

    $ git clone https://github.com/pentalpha/r-peridot.git
    $ cd r-peridot/

Now, install the dependencies:

R-Peridot's main dependencies are:

OpenJDK 1.8;
R >= 3.4.1;

If you are using GNU\Linux, there are more dependencies. There are scripts to handle the dependency installing at some distros:

For Ubuntu >= 17.04: jar/ubuntuDeps.sh;
For Debian >= 9: jar/debianDeps.sh;
For CentOS >= 7.2: jar/centosDeps.sh (recommended for other rpm-based distros);

It's time to build

This project uses Apache Ant as build system. To build our project, please install it.

    $ ant jar

That command will compile and package r-peridot. Now, download the modules from r-peridot-scripts:

    $ cd jar
    $ git clone https://github.com/pentalpha/r-peridot-scripts

Always make sure that the 'r-peridot-scripts' directory is at the same directory as 'r-peridot.jar'.

Using it

R-Peridot can be executed by running the 'jar/r-peridot' script or the 'jar/r-peridot.jar' JAR file. You can move these to any place in your system, as long as you move them along with the 'r-peridot-scripts' directory.

When R-Peridot opens for the first time, it will ask you to choose a R environment. If that environment is missing packages, you have the option to install them (depending on where is your default R package library, you may need to run r-peridot with sudo)

To get help on using the command line interface:

    $ ./jar/r-peridot -h

The following software was used to make R-Peridot

OpenJDK 1.8

Available at: http://openjdk.java.net/install/