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cellmaps-imagedownloader
Advanced tools
A tool to download specified image data from the Human Protein Atlas website using CSV file or to copy data from CM4AI dataset
The Cell Maps Image Downloader is part of the Cell Mapping Toolkit
.. image:: https://img.shields.io/pypi/v/cellmaps_imagedownloader.svg :target: https://pypi.python.org/pypi/cellmaps_imagedownloader
.. image:: https://app.travis-ci.com/idekerlab/cellmaps_imagedownloader.svg?branch=main :target: https://app.travis-ci.com/idekerlab/cellmaps_imagedownloader
.. image:: https://readthedocs.org/projects/cellmaps-imagedownloader/badge/?version=latest :target: https://cellmaps-imagedownloader.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status
.. image:: https://zenodo.org/badge/635992073.svg :target: https://zenodo.org/doi/10.5281/zenodo.10607371 :alt: Zenodo DOI badge
Downloads ImmunoFluorescent image data from Human Protein Atlas <https://www.proteinatlas.org/>
__
or from a CM4AI RO-Crate <https://cm4ai.org>
__
cellmaps_utils <https://pypi.org/project/cellmaps-utils>
__requests <https://pypi.org/project/requests>
__mygene <https://pypi.org/project/mygene>
__tqdm <https://pypi.org/project/tqdm>
__.. code-block::
pip install cellmaps_imagedownloader
Or directly from source:
.. code-block::
git clone https://github.com/idekerlab/cellmaps_imagedownloader cd cellmaps_imagedownloader pip install -r requirements_dev.txt make dist pip install dist/cellmaps_imagedownloader*whl
Run make command with no arguments to see other build/deploy options including creation of Docker image
.. code-block::
make
Output:
.. code-block::
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
.
For information invoke :code:cellmaps_imagedownloadercmd.py -h
Example usage
.. code-block::
cellmaps_imagedownloadercmd.py ./cellmaps_imagedownloader_outdir --samples examples/samples.csv --unique examples/unique.csv --provenance examples/provenance.json
Via Docker
**Example usage**
.. code-block::
Coming soon...
Credits
-------
This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
.. _NDEx: http://www.ndexbio.org
=======
History
=======
0.3.0 (2025-05-02)
-------------------
* Updated to work with 0.6 release of CM4AI dataset by
supporting format in `manifest.csv`
* Added `r` prefix to regex strings with escape sequences to remove
deprecation warnings that show up in python 3.11
* Updated to PEP 517 compliant build system
0.2.1 (2025-03-18)
------------------
* Add version bounds for required packages.
0.2.0 (2024-11-22)
------------------
* Added `--protein_list` and `--cell_line` flags that will fetch images from HPA for specific proteins and/or cell line.
* Bug fixes in fairscape registration.
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.
FAQs
A tool to download specified image data from the Human Protein Atlas website using CSV file or to copy data from CM4AI dataset
We found that cellmaps-imagedownloader demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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Socket’s new Tier 1 Reachability filters out up to 80% of irrelevant CVEs, so security teams can focus on the vulnerabilities that matter.
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