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website for BRCA challenge

To contribute: Fork the repository, make the changes, and submit pull request.

Build the frontend

The build is based on npm and webpack.

  • Ensure that git and node are installed
    • On OSX, install brew http://brew.sh/
      • brew install git
      • brew install node
    • On Linux:
      • sudo apt-get install git-all
      • curl -sL https://deb.nodesource.com/setup_5.x | sudo -E bash -
      • sudo apt-get install -y nodejs
  • Checkout the repo
    • git clone https://github.com/BD2KGenomics/brca-website.git
  • Start the frontend
    • cd brca-website
    • npm install
    • npm start

Build the server

The server runs on Django with postgres so install and set up those

  • Install postgres
    • For Mac:
    • Linux:
      • sudo apt-get install postgresql postgresql-contrib
  • Create the database
    • sudo -u postgres createdb storage.pg
  • Set the postgres role's password
    • sudo -u postgres psql postgres
    • at the prompt type \password postgres to set the password to postgres
  • Install the python dependencies
    • pip install -qU -r requirements.txt
  • Run the initial migration to populate the database
    • cd django
    • python manage.py migrate
  • Start the server
    • python manage.py runserver
  • If you're developing locally point the frontend at the local server
    • Edit databaseUrl in js/backend.js to point to localhost:8000
  • Browse to http://localhost:8080/

Lint

Use npm run lint to run the lint rules. We lint with eslint and babel-eslint.

How to change the data file

This process will delete all the previous data from the variants table and replace it with data from a new tsv file.

  • Replace the contents of data/resources/aggregated.tsv with the new data file
  • (Optional step if the schema has changed) Change the following files to correspond to schema changes (renamed / added / removed columns)
    • django/data/models.py - this is the python model that corresponds to all the table columns
    • django/data/migrations/0001_initial.py - specifies all the table columns, it matches the model above and the tsv headers
    • django/data/migrations/0002_search_index.py - specifies which columns are used in full text search
    • (if applicable) django/data/migrations/0004_autocomplete_words.py - specifies which columns are used in autocomplete suggestions
    • js/VariantTable.js:
      • columns specifies which columns appear in the default mode and their names
      • research_mode_columns specifies which columns appear in research mode and their names
      • subColumns specifies which columns appear in the column selection filter and how they're grouped.
  • cd django
  • python manage.py migrate --fake data zero && python manage.py migrate

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