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Web based Sungear visualization.

Project description



Sungear visulization.


# if you want the standalone web app
$ pip install sungear[web]

# if you only want to use the python fuctions
$ pip install sungear


See It In Action

Standalone Web App

$ python -m sungear

Then open browser to http://localhost:5000 to use.

Python Functions

import sungear

item_lists = {
    'name1': ['item1', 'item2', ...],
    'name2': ['item1', 'item2', ...],

result = sungear.sungear(item_lists)

This contains coordinates of nodes and vertices.

Development Notes

# clone with submodules
$ git clone --recurse-submodules
# build web assets
$ python webpack




  1. Christopher S. Poultney, Rodrigo A. Gutiérrez, Manpreet S. Katari, Miriam L. Gifford, W. Bradford Paley, Gloria M. Coruzzi, Dennis E. Shasha, Sungear: interactive visualization and functional analysis of genomic datasets, Bioinformatics, Volume 23, Issue 2, 15 January 2007, Pages 259–261,

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Files for sungear, version 1.1.3
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Filename, size sungear-1.1.3.tar.gz (189.9 kB) File type Source Python version None Upload date Hashes View

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