Exploratory analysis with Pathway Commons, R Cytoscape.js, and Shiny

[abbycabs]

[ Project Lead ] @kdaily [ GitHub Repo ] https://github.com/kdaily/shinyPathway [ Track ] Tools: you are building a tool others can help you build [ Level ] Intermediate [ Timezone ] PDT

Description

Build a modular R Shiny app to view biological pathways from Pathway Commons with user-provided data about nodes in the network.

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Want to Contribute?

Join us at the Global Sprint June 2-3. Leave a comment in this issue to let the project lead know you're interested in contributing during #mozsprint 2016!

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Note to the Project Lead

Congrats, @kdaily! This is your official project listing for the Mozilla Science Global Sprint 2016. To confirm your submission, please complete the following:

• [x] Provide a GitHub repository for work and discussion on your project
• [x] Confirm in a comment that at least one person will be available to review and answer questions on this project from 9-5 in their timezone on both June 2 & 3.

  Do you want to become a featured project? :tada:

Here are some exercises that will help your project be more inviting to new contributors. We hope you'll try to complete some of these as you prepare for #mozsprint.

If you complete all the exercises, your project will be eligible to be featured in our collection of open source science projects! Once you've finished this list, contact @acabunoc to submit your project for review.

• [x] README.md:
• [x] LICENSE:
• [x] CONTRIBUTING.md:
• [x] Roadmap or an Issue Tracker (with tasks to complete):
• [ ] Data Reuse Plan (if applicable):
• [x] Code of Conduct:
• [ ] Personas:

[kdaily]

Github repo: https://github.com/kdaily/shinyPathway

I'll be available from 9-5 in my local timezone on both June 2 and 3.