Cytoscape Automation API
Project description
py4cytoscape
This project recreates the R-based RCy3
Cytoscape Automation library as a Python package. The idea is to allow a Cytoscape workflow to be written in one language (R or Python) and translated to another language (Python or R) without having to learn different Cytoscape interfaces. The previous Cytoscape Python interface (Py2Cytoscape) has different features than the Cytoscape R library, and is therefore deprecated.
Additionally, this project attempts to maintain the same function signatures, return values, function implementation and module structure as the RCy3, thereby enabling smooth maintenance and evolution of both RCy3
and py4cytoscape
.
This project uses PyCharm because of its excellent code management and debugging features.
Over time, py4cytoscape functionality should match RCy3 functionality. Once that occurs, novel Py2Cytoscape functions will be added to both as appropriate.
An overall scorecard comparing Py2Cytoscape, RCy3
and py4cytoscape
can be found here. Pay close attention to columns E and F, which show how much of RCy3 is reflected in py4cytoscape.
Documentation
To understand the API structure and see calling examples, see the py4cytoscape
documentation.
How to install and test
For an explanation of py4cytoscape
installation and testing, see the INSTALL.rst file.
How run a simple workflow
For a quick tutorial on how to build a workflow in Python and using py4cytoscape
, see
https://py4cytoscape.readthedocs.io/en/latest/tutorials/index.html.
You can try py4cytoscape
with a web browser only, without installing anything in your local environment.
How to configure logging
py4cytoscape
logging is based on the Python logging
package, which is based on the Java logging
framework.
For an explanation of log configuration and use, see the LOGGING.rst file.
License
py4cytoscape
is released under the MIT License (see LICENSE.rst file):
Copyright (c) 2018-2020 The Cytoscape Consortium
Barry Demchak <bdemchak@ucsd.edu>
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