A web-based tool to build, view, share, and embed metabolic maps.

See the wiki for documentation, examples, and developer information.

Follow @zakandrewking for Escher updates, and ask for help on Stack Overflow with the Escher tag.

NOTE: Escher is still a Beta release, so please be patient with the early version as you may encounter bugs and other unexpected behavior. The documentation is also unfinished. Feel free to submit bugs and feature requests as Issues, or, better yet, Pull Requests.

The easiest way to use Escher it to try our live demo.

1. Using the Escher web tool ======

When you open the live demo, you will see a few options:

• Model: Choose a COBRA model to load, for building reactions. You can also load your own model after you launch the tool.
• Map: Try viewing and editing a pre-built map, or start from scratch with the Empty Builder
• Options:
  1. The Viewer allows you to pan and zoom the map, and to assign data to reactions and metabolites.
  2. The Builder, in addition to the Viewer features, allows you to add reactions, move and rotate existing reactions, and adjust the map canvas.
  3. The Dev modes utilize local javascript files and are useful (a) if you are editing/developing the Escher source code, or (b) if you want to try using Escher offline.

We test Escher on the latest versions of Chrome, Firefox, and Safari on Mac and Windows, and Safari on iOS. Other modern browsers should mostly work.

We recommend using Chrome for optimal performance and consistency.

Generating COBRA models that can be imported into Escher requires the latest beta version of COBRApy which can be found here:

https://github.com/opencobra/cobrapy/releases

You can keep an eye on that GitHub repository to follow the progress on the latest version of COBRApy, which will be release along with Escher v1.0.

Once you have COBRApy v0.3.0b1 installed, then you can generate a JSON model by following this example code:

http://nbviewer.ipython.org/github/zakandrewking/escher/blob/master/docs/notebooks/json_models_in_cobrapy.ipynb

Currently, data must be in a JSON format. This code snippet provides an example of generating the proper format for single reaction data values and for reaction data comparisons:

import json

# save a single flux vector as JSON
flux_dictionary = {'asdf': 2}
with open('out.json', 'w') as f:
    json.dump(flux_dictionary, f) 
	
# save a flux comparison as JSON 
flux_comp = [{'GAPD': 3}, {'GAPD': 4}] 
with open('out_comp.json', 'w') as f: 
    json.dump(flux_comp, f)

Once you have saved your data as a JSON file, you can load the files using the Data menu in the Escher tool.

2. Installing, and using Escher in the IPython Notebook ======

The Python package for Escher can be installed using pip:

pip install escher --pre

Alternatively, one can download the source files and install the package directly:

python setup.py install

Once you have installed Escher locally, you can interact with Escher maps in an IPython Notebook. This example notebook outlines the basic idea:

http://nbviewer.ipython.org/github/zakandrewking/escher/blob/master/docs/notebooks/multiple_maps.ipynb

Dependencies:

• Jinja2
• tornado
• COBRApy, 0.3.0b1 or later

3. Running a local server =======

You can run your own local server if you want to modify the Escher code, or use Escher offline. To get started, install the Python package and run from any directory by calling:

python -m escher.server

This starts a server at localhost:7778. You can also choose another port:

python -m escher.server --port=8005

4. Using the static javascript files =======

You can include the escher-1.0.dev.js script in any html document. The only dependencies are d3.js, and Twitter Bootstrap if you are using the option menu='all'.

5. Building and testing escher =======

Build:

python setup.py build

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

Test:

python setup.py test