https://github.com/bluebrain/connectome-analysis

https://github.com/bluebrain/connectome-analysis

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 5 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
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  • Scientific vocabulary similarity
    Low similarity (13.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: BlueBrain
  • License: agpl-3.0
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 31.7 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Archived
Created over 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme

README.md

[!WARNING] The Blue Brain Project concluded in December 2024, so development has ceased under the BlueBrain GitHub organization. Future development will take place at: https://github.com/openbraininstitute/connectome-analysis

Connectome Analysis

General functions to analyze connectomes from a topological perspective.


Documentation

See our documentation for detailed explanations including examples and tutorials.

See our source code for implementation details.

User installation

sh pip install git+https://github.com/danielaegassan/connectome_analysis.git


Citation

DOI:10.1101/2024.03.15.585196

If you use this software, kindly use the following BibTeX entry for citation:

@article{egas2024efficiency, title={Efficiency and reliability in biological neural network architectures}, author={Egas Santander, Daniela and Pokorny, Christoph and Ecker, Andr{\'a}s and Lazovskis, J{\=a}nis and Santoro, Matteo and Smith, Jason P and Hess, Kathryn and Levi, Ran and Reimann, Michael W}, journal={bioRxiv}, pages={2024--03}, year={2024}, publisher={Cold Spring Harbor Laboratory}, doi = {10.1101/2024.03.15.585196} }


Acknowledgements & Funding

The development of this software was supported by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne (EPFL), from the Swiss government’s ETH Board of the Swiss Federal Institutes of Technology.

Copyright (c) 2023 Blue Brain Project / EPFL.


Development installation

  • Clone this repository
  • Requirements:

  • Create a virtual environment and install the dependencies

sh poetry install

CMake may have difficulties to find the right compilers to compile the C++ code. If that is the case, you have to specify the path to the compilers yourself:

sh CC=/path/to/gcc CXX=/path/to/g++ poetry install

This is especially important on MacOS.

  • Activate the virtual environment

sh poetry shell

  • Testing

sh poetry run pytest tests

Documentation

The documentation is automatically generated from the content of the docs directory and from the docstrings of the public signatures of the source code. The documentation is updated and published as a Github project page automatically as part each release.

Owner

  • Name: The Blue Brain Project
  • Login: BlueBrain
  • Kind: organization
  • Email: bbp.opensource@epfl.ch
  • Location: Geneva, Switzerland

Open Source Software produced and used by the Blue Brain Project

GitHub Events

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  • Watch event: 1
  • Fork event: 1

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Dependencies

.github/actions/python-poetry-env/action.yml actions
  • actions/setup-python v2 composite
.github/workflows/draft_release.yml actions
  • ./.github/actions/python-poetry-env * composite
  • EndBug/add-and-commit v7 composite
  • actions/checkout v2 composite
  • actions/create-release v1 composite
.github/workflows/release.yml actions
  • ./.github/actions/python-poetry-env * composite
  • actions/checkout v2 composite
.github/workflows/test.yml actions
  • ./.github/actions/python-poetry-env * composite
  • actions/checkout v2 composite
poetry.lock pypi
  • 163 dependencies
pyproject.toml pypi
  • black * develop
  • jupyter ^1.0.0 develop
  • mkdocs-material * develop
  • mkdocstrings >=0.18 develop
  • pytest * develop
  • pytest-cov * develop
  • pytest-github-actions-annotate-failures * develop
  • seaborn * develop
  • bigrandomgraphs >=0.0.4
  • matplotlib *
  • networkx *
  • numpy *
  • pandas *
  • progressbar 2.5
  • pyflagser *
  • pyflagsercount >=0.2.41
  • python >=3.8.3, <4
  • scipy *
  • tables *
  • tqdm *
requirements.txt pypi
  • bigrandomgraphs ==0.0.3
  • blosc2 ==2.0.0
  • cmake ==3.28.3
  • colorama ==0.4.6
  • contourpy ==1.1.1
  • cycler ==0.12.1
  • cython ==3.0.9
  • fonttools ==4.50.0
  • importlib-resources ==6.3.2
  • kiwisolver ==1.4.5
  • matplotlib ==3.7.5
  • msgpack ==1.0.8
  • networkx ==3.1
  • numexpr ==2.8.6
  • numpy ==1.24.4
  • packaging ==24.0
  • pandas ==2.0.3
  • pillow ==10.2.0
  • progressbar ==2.5
  • py-cpuinfo ==9.0.0
  • pyflagser ==0.4.5
  • pyflagsercount ==0.4.0
  • pyparsing ==3.1.2
  • python-dateutil ==2.9.0.post0
  • pytz ==2024.1
  • scipy ==1.9.3
  • six ==1.16.0
  • tables ==3.8.0
  • tqdm ==4.66.2
  • tzdata ==2024.1
  • zipp ==3.18.1