biobb-morph
Science Score: 49.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: nature.com, zenodo.org -
○Academic email domains
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○Scientific vocabulary similarity
Low similarity (6.5%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: bioexcel
- License: apache-2.0
- Language: Python
- Default Branch: master
- Size: 63.7 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 1
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
biobb_morph
Introduction
Biobb_morph is a Python library that provides tools for performing 3D morphological transformations of intervertebral disc (IVD) meshes. It enables the creation of patient-personalized 3D models by morphing a morph IVD mesh into a target shape. The library is part of the BioExcel Building Blocks (Biobb) framework. Biobb (BioExcel building blocks) packages are Python building blocks that create new layer of compatibility and interoperability over popular bioinformatics tools. The latest documentation of this package can be found in our readthedocs site: latest API documentation.
Version
v5.0.1 2024.2
Installation
Using PIP:
Important: PIP only installs the package. All the dependencies must be installed separately. To perform a complete installation, please use ANACONDA, DOCKER or SINGULARITY.
Installation:
pip install "biobb_morph>=5.0.1"Usage: Python API documentation
Using ANACONDA:
Installation:
conda install -c bioconda "biobb_morph>=5.0.1"Usage: With conda installation BioBBs can be used with the Python API documentation and the Command Line documentation
Using DOCKER:
Installation:
docker pull quay.io/biocontainers/biobb_morph:5.0.1--pyhd7d9b99_0Usage:
docker run quay.io/biocontainers/biobb_morph:5.0.1--pyhd7d9b99_0 <command>
Using SINGULARITY:
MacOS users: it's strongly recommended to avoid Singularity and use Docker as containerization system.
Installation:
singularity pull --name biobb_morph.sif https://depot.galaxyproject.org/singularity/biobb_morph:5.0.1--pyhd7d9b99_0Usage:
singularity exec biobb_morph.sif <command>
The command list and specification can be found at the Command Line documentation.
Copyright & Licensing
This software has been developed in the MMB group at the BSC & IRB for the European BioExcel, funded by the European Commission (EU H2020 823830, EU H2020 675728).
- (c) 2015-2025 Barcelona Supercomputing Center
- (c) 2015-2025 Institute for Research in Biomedicine
Licensed under the Apache License 2.0, see the file LICENSE for details.

Owner
- Name: BioExcel
- Login: bioexcel
- Kind: organization
- Website: https://bioexcel.eu/
- Repositories: 50
- Profile: https://github.com/bioexcel
Center of Excellence for Computational Biomolecular Research
GitHub Events
Total
- Public event: 1
- Push event: 6
- Fork event: 1
- Create event: 2
Last Year
- Public event: 1
- Push event: 6
- Fork event: 1
- Create event: 2
Packages
- Total packages: 1
-
Total downloads:
- pypi 15 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 2
- Total maintainers: 2
pypi.org: biobb-morph
biobb_morph is the Biobb module collection to create patien-specific 3D meshes from IVD template examples.
- Homepage: https://github.com/bioexcel/biobb_morph
- Documentation: http://biobb-morph.readthedocs.io/en/latest/
- License: Apache Software License
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Latest release: 5.0.1
published about 1 year ago
Rankings
Dependencies
- actions/checkout v2 composite
- fair-software/howfairis-github-action 0.2.1 composite
- actions/checkout v4 composite
- cniethammer/git-repo-sync main composite
- actions/stale v5 composite
- JamesIves/github-pages-deploy-action v4 composite
- actions/checkout v4 composite
- mamba-org/setup-micromamba v2.0.0 composite
- recommonmark *
- sphinx_rtd_theme *
- Rtree *
- biobb_common ==5.0.0
- matplotlib *
- meshio *
- numpy *
- numpy-stl *
- scikit-learn *
- scipy *
- torch *
- trimesh *