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0.0 2.0 0.0 11.73 MB

(formely visbio) Visualizations for systems biology.

Home Page: zakandrewking.github.io/escher

License: MIT License

JavaScript 97.03% Python 2.61% CSS 0.31% C 0.05%

escher's Introduction

Escher

A library of web-based maps and visualizations for systems biology.

See the wiki for some project info.

  1. Installation Download =======

  2. Running the server =======

Load data dynamically using the included tornado server. To get started, go to the root escher directory and call:

python server/tornado_main.py

Should start a server at localhost:7778 with live plots and maps. Modify the data in the data/ directory to make your own plots and maps come to life!

  1. Using the static javascript file =======

You can include the escher-1.0.dev.js script in any html document. The only dependency is d3.js. Include them both like this:

<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
<script src="escher-1.0.dev.js"> </script>
  1. Building escher =======

Install the require.js optimizer and run:

cd /path/to/escher/js
r.js -o build.js
r.js -o build.min.js

This builds both the uglified and non-uglified javascript files.

escher's People

Contributors

zakandrewking avatar aebrahim avatar steve-federowicz avatar

Watchers

James Cloos avatar  avatar

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