WebOmics is a dashboard to integrate and explore different types of biological -omics data. Using this tool, you can map transcriptomics, proteomics and metabolomics data onto metabolic pathways. WebOmics uses Reactome as the knowledge base to map entities across different omics. Methods to rank pathway and highlight interesting connection are also included.

Requires:

• Django 2.0/Python and rpy for backend.
• A local Reactome installation.
• The usual scientific python stack (Numpy/Scipy/Pandas) for analysis and running the notebooks (optional).

The following are the instructions to get WebOmics running on Ubuntu 18.04.

Neo4j specifically requires Java 8 to be installed. If you don't have Java installed, you can install it with the command below:

$ sudo apt install openjdk-8-jdk

Otherwise validate that you have Java 8 installed:

$ java -version
openjdk version "1.8.0_181"

Linux Installation - Neo4j Reference.

Run the following commands to install Neo4j Community Edition 3.4.6:

$ wget -O - https://debian.neo4j.org/neotechnology.gpg.key | sudo apt-key add -
$ echo 'deb https://debian.neo4j.org/repo stable/' | sudo tee -a /etc/apt/sources.list.d/neo4j.list
$ sudo apt-get update
$ sudo apt-get install neo4j=1:3.4.6

Verify that Neo4j is running:

$ sudo service neo4j status

From the status above, you can see that $NEO4J_HOME is located at /var/lib/neo4j. If Neo4j is not running, start it:

$ sudo service neo4j start

Once it's running, set the initial password to whatever you prefer.

$ curl -H "Content-Type: application/json" -X POST -d '{"password":"WHATEVER THE PASSWORD IS"}' -u neo4j:neo4j http://localhost:7474/user/neo4j/password

See https://reactome.org/dev/graph-database

Download the Reactome database. Extract and move it to $NEO4J_HOME/data/databases.

$ wget https://reactome.org/download/current/reactome.graphdb.tgz
$ tar xvzf reactome.graphdb.tgz
$ sudo mv reactome.graphdb.v65 /var/lib/neo4j/data/databases
$ chown -R neo4j:neo4j /var/lib/neo4j/data/databases/reactome.graphdb.v65

Edit the config file at either $NEO4J_HOME/conf/neo4j.conf or /etc/neo4j/neo4j.conf. Change dbms.active_database to dbms.active_database=reactome.graphdb.v65

Check that the neo4j service is running with the following command. If it is not running, start it.

$ sudo service neo4j status

See this reference. Install R using the commands below and verify that it can run.

$ sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys E298A3A825C0D65DFD57CBB651716619E084DAB9
$ sudo add-apt-repository 'deb https://cloud.r-project.org/bin/linux/ubuntu bionic-cran35/'
$ sudo apt update
$ sudo apt install r-base libxml2-dev libcurl4-openssl-dev

Install DESeq2 in R using Bioconductor following this instruction and this.

> source("https://bioconductor.org/biocLite.R")
> biocLite("DESeq2")

Note: Django 2.0 requires Python 3. If you also have Python 2 installed, the pip command below might become pip3

$ sudo apt update
$ sudo apt install python3-pip python3-tk
$ sudo pip install pipenv
$ git clone https://github.com/joewandy/WebOmics.git
$ cd WebOmics/web_omics
$ touch .env

Update .env to contain like the following example. You can generate a new Django secret key following this link.

ENVIRONMENT='DEVELOPMENT'
DJANGO_SECRET_KEY='ssf$#5hq3^qni3cb-i&-p6jyq-p5=3&6s&r#$4kmprufa#ei)8'
DJANGO_DEBUG='yes'
DJANGO_TEMPLATE_DEBUG='yes'

Install the virtual environment using pipenv and go into its shell:

$ pipenv install --dev
$ pipenv shell

Now we need to install the front-end dependencies of WebOmics. The Javascript packages required by WebOmics are managed by Node.js. First, install Node.js for your platform: https://nodejs.org/en. You can choose the LTS version for this.

Once Node.js is installed, you need to get a package manager. Here we use Yarn (alternatively you can use npm). Below is the instructions for Ubuntu (for other platforms, refer to https://yarnpkg.com/en/docs/install).

$ curl -sS https://dl.yarnpkg.com/debian/pubkey.gpg | sudo apt-key add -
$ echo "deb https://dl.yarnpkg.com/debian/ stable main" | sudo tee /etc/apt/sources.list.d/yarn.list
$ sudo apt-get update && sudo apt-get install yarn

In the WebOmics/web_omics directory where package.json can be found, type the following to download all the front-end packages:

$ yarn

To run webpack in development mode so it rebuilds the bundle when there's a change to your file, type:

$ yarn run dev

To run webpack in production mode to generate a minified bundle, type:

$ yarn run build

JQuery, D3.js and React are already configured in the project, and they can be readily used.

Now you can start the WebOmics app in Django. Do a migration the first time to create the database tables

$ python manage.py migrate

And you can start the server by:

$ python manage.py runserver

Notebooks are very useful for prototyping and troubleshooting. Using shell_plus, you can launch a notebook that has access to django objects.

References: https://stackoverflow.com/questions/35483328/how-to-setup-jupyter-ipython-notebook-for-django In the same directory that contains manage.py, run:

$ jupyter notebook

You might need to do the following configurations to make the notebook work properly:

1. Add the environmental variables DJANGO_CONFIGURATION=Development and DJANGO_SETTINGS_MODULE=web_omics.settings
2. Make sure that django-configuration is setup properly when launched from notebook, see https://django-configurations.readthedocs.io/en/latest/cookbook/#ipython-notebooks