Web based Sungear visualization.
Project description
Sungear
Introduction
Sungear visulization.
Install
# if you want the standalone web app $ pip install sungear[web] # if you only want to use the python fuctions $ pip install sungear
Example
See It In Action
https://sungear.herokuapp.com/
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 https://github.com/zachary822/sungear.git # build web assets $ python setup.py webpack
License
Reference
- 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, https://doi.org/10.1093/bioinformatics/btl496
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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 |