Bring science to the "street"
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README.md

Gitter

StreetScienceCommunity

Find all the information about our community and projects at streetscience.community.

Our dedicated Galaxy server to perform all kind of data analysis can be accessed at https://streetscience.usegalaxy.eu

Bring science to the public!

Gitter channel?

Welcome!

First and foremost, Welcome! 🎉 Willkommen! 🎊 Bienvenue! 🎈🎈🎈

This document (the README file) is a hub to give you some information about the project. Jump straight to one of the sections below, or just scroll down to find out more.

What are we doing?

We are working with teachers, educators and citizens to educate the public about open science and particularly with sequencing, data-analysis, molecular biology, their benefits and implications.

Who are we?

We think that knowledge transfer from different domains is crucial for this project hence Street Science Community consists of people with different expertise and skills. Computational- and molecular biology researchers as well as Bioinformaticians and we are all dealing with life-science problems on a daily basis, but from different angles.

What do we need?

You! In whatever way you can help.

We need expertise in fundraising, science, education, communication, interaction with the public. We'd love your feedback along the way, and of course.

Get involved

If you think you can help in any of the areas listed above (and we bet you can) or in any of the many areas that we haven't yet thought of (and here we're sure you can) then please check out our contributors' guidelines and our roadmap.

Please note that it's very important to us that we maintain a positive and supportive environment for everyone who wants to participate. When you join us we ask that you follow our code of conduct in all interactions both on and offline.

How can I generate the website locally?

You need a ruby environment (version >= 2.4). Either you have it installed and you know how to Bundler and Jekyll or you use (mini-)conda, a package management system that can install all these tools for you. You can install it by following the instructions on this page: https://conda.io/docs/user-guide/install/index.html

In the sequel, we assume you use miniconda.

  1. Open a terminal

  2. Clone this GitHub repository:

    git clone https://github.com/StreetScienceCommunity/StreetScienceCommunity.git
    
  3. Navigate to the StreetScienceCommunity/ folder with cd

  4. Set up the conda environment:

    make create-env
    
  5. Install the project's dependencies:

    make install
    
  6. Start the website:

    make serve
    
  7. Open the website in your favorite browser at: http://127.0.0.1:4000/