PyViPR
PyViPR is a Jupyter widget that generates network dynamic and static visualizations of PySB, Tellurium, BNGL, SBML, and Ecell4 models using Cytoscape.js. Additionally, it can be used to visualize networks encoded in the graphml, sif, sbgn xml, cytoscape json, gexf, gml and yaml formats.
Trying it online
To try out PyViPR interactively in your web browser, just click on the binder link below:
Installation
From conda
To use with Jupyter Notebooks:
> conda install pyvipr -c ortegas
To use with JupyterLab:
> conda install pyvipr -c ortegas
> jupyter labextension install @jupyter-widgets/jupyterlab-manager
> jupyter labextension install pyvipr
From PyPI
To use with Jupyter Notebooks:
> pip install pyvipr
To use with JupyterLab:
> pip install pyvipr
> jupyter labextension install @jupyter-widgets/jupyterlab-manager
> jupyter labextension install pyvipr
From git (requires npm)
$ git clone https://github.com/LoLab-VU/pyvipr.git
$ cd pyvipr
$ pip install .
How to use the widget
After installing the widget, it can be used by importing it in the Jupyter notebook. The widget is simple to use with PySB models, SimulationResult objects, Tellurium models and BNGL & SBML files.
PyViPR has three main interfaces: Graph formats, PySB, and a Tellurium.
Graph formats interface
This interface leverages NetworkX and Cytoscape.js to generate network visualizations of graphs encoded in different file formats.
Graphml example:
import pyvipr.network_viz as nviz
nviz.graphml_view('path_to_file/mygraph.graphml', layout_name='fcose')
PySB interface
PySB is needed to visualize PySB models and it is needed if you want to use the pyvipr.pysb_viz module:
Installing PySB from pip:
> pip install pysb
When using pip the installation of PySB requires to manually install BioNetGen into the default path for your platform (/usr/local/share/BioNetGen on Mac and Linux, c:\Program Files\BioNetGen on Windows), or set the BNGPATH environment variable to the BioNetGen path on your machine.
Installing PySB from conda:
> conda install pysb -c alubbock
PySB static example:
import pyvipr.pysb_viz as pviz
from pyvipr.examples_models.lopez_embedded import model
pviz.sp_comm_louvain_view(model, random_state=1, layout_name='klay')
PySB Dynamic Example:
import pyvipr.pysb_viz as pviz
from pyvipr.examples_models.mm_two_paths_model import model
from pysb.simulator import ScipyOdeSimulator
import numpy as np
tspan = np.linspace(0, 1000, 100)
sim = ScipyOdeSimulator(model, tspan).run()
pviz.sp_dyn_view(sim)
Tellurium interface
Tellurium is needed to visualize Tellurium models and it is needed if you want to use the pyvipr.tellurium_viz module:
Installing Tellurium from pip:
> pip install tellurium
import tellurium as te
import pyvipr.tellurium_viz as tviz
model = te.loadSBMLModel("https://www.ebi.ac.uk/biomodels-main/download?mid=BIOMD0000000001")
tviz.sp_view(model)
Documentation
To get started with using PyViPR, check out the full documentation
https://pyvipr.readthedocs.io/
Citation
To cite PyViPR, please cite the iScience paper:
Interactive Multiresolution Visualization of Cellular Network Processes
Ortega O and Lopez C
License
Metadata
Release files for pyvipr 1.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pyvipr-1.0.7.tar.gz | 10.9 MB | Without provenance | Details for pyvipr-1.0.7.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pyvipr-1.0.7-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for pyvipr-1.0.7-py2.py3-none-any.whl |
Total release size: 17.2 MB
Release files / pyvipr-1.0.7.tar.gz
| Download URL | pyvipr-1.0.7.tar.gz |
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| Size | 10.9 MB |
| Tags | Source |
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| Download URL | pyvipr-1.0.7-py2.py3-none-any.whl |
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| Size | 6.3 MB |
| Tags | Python 2 Python 3 |
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