Skip to main content

Cell Maps for AI PPI Downloader

The Cell Maps PPI Downloader is part of the Cell Mapping Toolkit

https://img.shields.io/pypi/v/cellmaps_ppidownloader.svg https://app.travis-ci.com/idekerlab/cellmaps_ppidownloader.svg?branch=main Documentation Status Zenodo DOI badge

Downloads protein-protein interaction data

Dependencies

Compatibility

  • Python 3.8+

Installation

git clone https://github.com/idekerlab/cellmaps_ppidownloader
cd cellmaps_ppidownloader
pip install -r requirements_dev.txt
make dist
pip install dist/cellmaps_ppidownloader*whl

Run make command with no arguments to see other build/deploy options including creation of Docker image

make

Output:

clean                remove all build, test, coverage and Python artifacts
clean-build          remove build artifacts
clean-pyc            remove Python file artifacts
clean-test           remove test and coverage artifacts
lint                 check style with flake8
test                 run tests quickly with the default Python
test-all             run tests on every Python version with tox
coverage             check code coverage quickly with the default Python
docs                 generate Sphinx HTML documentation, including API docs
servedocs            compile the docs watching for changes
testrelease          package and upload a TEST release
release              package and upload a release
dist                 builds source and wheel package
install              install the package to the active Python's site-packages
dockerbuild          build docker image and store in local repository
dockerpush           push image to dockerhub

Before running tests, please install pip install -r requirements_dev.txt.

Needed files

  • bait list file: TSV file of baits used for AP-MS experiments

  • edge list file: TSV file of edges for protein interaction network

  • provenance: file containing provenance information about input files in JSON format (see sample provenance file in examples folder)

Usage

For information invoke cellmaps_ppidownloadercmd.py -h

Example usage

cellmaps_ppidownloadercmd.py ./cellmaps_ppidownloader_outdir --edgelist examples/edgelist.tsv --baitlist examples/baitlist.tsv --provenance examples/provenance.json

Via Docker

Example usage

Coming soon...

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.2.2 (2025-04-28)

  • Updated to PEP 517 compliant build system

0.2.1 (2024-12-18)

  • Fix fairscape registration for edgelist and baitlist

0.2.0 (2024-12-02)

  • Added README generation.

  • Refactor code.

0.1.2 (2024-09-12)

  • Bug fix in adding gene node attributes.

0.1.1 (2024-08-26)

  • Bug fix in adding gene node attributes. The bug was resulting in duplicate entries and missing gene names, related to ambiguous antibodies.

0.1.0 (2024-01-01)

  • First release on PyPI.

Metadata

Release files for cellmaps-ppidownloader 0.2.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for cellmaps-ppidownloader 0.2.2
File Size Uploaded
cellmaps_ppidownloader-0.2.2.tar.gz 45.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for cellmaps-ppidownloader 0.2.2
File Interpreter ABI Platform
cellmaps_ppidownloader-0.2.2-py2.py3-none-any.whl Python 2, Python 3 none any Details

Total release size: 66.8 kB

Release files / cellmaps_ppidownloader-0.2.2.tar.gz

Download URL cellmaps_ppidownloader-0.2.2.tar.gz
Size 45.7 kB
Tags Source
SHA-256 checksum
How to use checksums
946834117d613a0e0fab0bddf777cf5883a131ad03b511716101386b7184289f
BLAKE2b-256 checksum
How to use checksums
7c7e7ec2aefe3f31ab2d0dc05519a0955c7ca1c308211e3d40a5fab79670ce53
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.11.11

Release files / cellmaps_ppidownloader-0.2.2-py2.py3-none-any.whl

Download URL cellmaps_ppidownloader-0.2.2-py2.py3-none-any.whl
Size 21.1 kB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
ea0be1b13245fa5e2d4a47381c6faae287864fbffc423a0d3183c2a4ce38faab
BLAKE2b-256 checksum
How to use checksums
d6c0f141c32b20282d4364ee95600c467651feb92c8773a842aa3ecd5bec9a0a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.11.11
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page