Readme
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. The official Automation API definition met by both RCy3 and py4cytoscape is here. The API is versioned, and you can see which API version RCy3 or py4cytoscape implements by executing the cytoscape_version_info() or cytoscapeVersionInfo() function.
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.
To understand the API structure and see calling examples, see the py4cytoscape documentation.
The quickest way to see py4cytoscape in action is via the Overview of py4cytoscape Jupyter-based workflow.
You can avoid installing Python or py4cytoscape by clicking on the Open in Colab button, and running the Python workflow in the Google Cloud, though you will still have to install Cytoscape on your workstation.
You can follow the notes in the Jupyter Notebook as the workflow automates Cytoscape execution.
For an explanation of py4cytoscape installation and testing, see the INSTALL.rst file.
py4cytoscapeA broad set of Cytoscape Automation samples and tutorials is available on the Cytoscape Automation Wiki.
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.
py4cytoscape maintainers can build a new release using the process in BUILDING.rst.
py4cytoscape has extensive test suites. Maintainers can learn more about testing in the TESTING.rst file.
py4cytoscape is released under the MIT License (see LICENSE.rst file):
Copyright (c) 2018-2022 The Cytoscape Consortium
Barry Demchak <bdemchak@ucsd.edu>
FAQs
Cytoscape Automation API
We found that py4cytoscape demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Tea.xyz, a crypto project aimed at rewarding open source contributions, is once again facing backlash due to an influx of spam packages flooding public package registries.
Security News
As cyber threats become more autonomous, AI-powered defenses are crucial for businesses to stay ahead of attackers who can exploit software vulnerabilities at scale.
Security News
UnitedHealth Group disclosed that the ransomware attack on Change Healthcare compromised protected health information for millions in the U.S., with estimated costs to the company expected to reach $1 billion.