modos-schema
Metadata schema for the Multi-Omics Digital Object System - MODOS.
erDiagram
MODOCollection {
}
MODO {
datetime creation_date
datetime last_update_date
uri source_uri
uriorcurie id
string name
string description
}
Assay {
OmicsTypeList omics_type
uriorcurieList sample_processing
uriorcurie id
string name
string description
}
DataEntity {
string data_path
DataFormat data_format
string data_checksum
uriorcurie id
string name
string description
}
ReferenceGenome {
string data_path
uriorcurieList taxon_id
uri source_uri
string version
uriorcurie id
string name
string description
}
ReferenceSequence {
string sequence_md5
uri source_uri
string version
uriorcurie id
string name
string description
}
Sample {
uriorcurie cell_type
uriorcurie source_material
Sex sex
uriorcurieList taxon_id
stringList collector
uri source_uri
uriorcurie id
string name
string description
}
MODOCollection ||--}o MODO : "entries"
MODO ||--}o Assay : "has_assay"
Assay ||--}o DataEntity : "has_data"
DataEntity ||--}o Sample : "has_sample"
DataEntity ||--}o ReferenceGenome : "has_reference"
ReferenceGenome ||--}o ReferenceSequence : "has_sequence"
Website
https://sdsc-ordes.github.io/modos-schema
Repository Structure
- examples/ - example data
- project/ - project files (do not edit these)
- src/ - source files (edit these)
- tests/ - Python tests
Developer Documentation
make all: make everythingmake deploy: deploys site
Credits
This project was made with linkml-project-cookiecutter.
Acknowledgements and Funding
The development of the Multi-Omics Digital Object System (MODOS) is being funded by the Personalized Health Data Analysis Hub, a joint initiative of the Personalized Health and Related Technologies (PHRT) and the Swiss Data Science Center (SDSC), for a period of three years from 2023 to 2025. The SDSC leads the development of MODOS, bringing expertise in complex data structures associated with multi-omics and imaging data to advance privacy-centric clinical-grade integration. The PHRT contributes its domain expertise of the Swiss Multi-Omics Center (SMOC) in the generation, analysis, and interpretation of multi-omics data for personalized health and precision medicine applications. We gratefully acknowledge the Health 2030 Genome Center for their substantial contributions to the development of MODOS by providing test data sets, deployment infrastructure, and expertise.
Copyright
Copyright © 2023-2024 Swiss Data Science Center (SDSC), www.datascience.ch. All rights reserved. The SDSC is jointly established and legally represented by the École Polytechnique Fédérale de Lausanne (EPFL) and the Eidgenössische Technische Hochschule Zürich (ETH Zürich). This copyright encompasses all materials, software, documentation, and other content created and developed by the SDSC in the context of the Personalized Health Data Analysis Hub.
Release files for modos-schema 0.3.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| modos_schema-0.3.4.tar.gz | 37.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| modos_schema-0.3.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 53.3 kB
Release files / modos_schema-0.3.4.tar.gz
| Download URL | modos_schema-0.3.4.tar.gz |
|---|---|
| Size | 37.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Download URL | modos_schema-0.3.4-py3-none-any.whl |
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| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 26, 2025.
Transparency log