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Mass Spectrometry Ontology (MassSpectrometry)
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Overview
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A structured controlled vocabulary for the annotation of experiments concerned with proteomics mass spectrometry.
:Domain: Chemistry
:Category: Mass Spectrometry, Proteomics
:Current Version: None
:Last Updated: 12:02:2025
:Creator: Andreas Bertsch
:License: Creative Commons 4.0
:Format: OWL
:Download: `Mass Spectrometry Ontology (MassSpectrometry) Homepage <https://terminology.tib.eu/ts/ontologies/MS>`_
Graph Metrics
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- **Total Nodes**: 17851
- **Total Edges**: 51814
- **Root Nodes**: 3786
- **Leaf Nodes**: 7959
Knowledge coverage
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- Classes: 3636
- Individuals: 0
- Properties: 12
Hierarchical metrics
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- **Maximum Depth**: 6
- **Minimum Depth**: 0
- **Average Depth**: 1.16
- **Depth Variance**: 0.58
Breadth metrics
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- **Maximum Breadth**: 7345
- **Minimum Breadth**: 2
- **Average Breadth**: 2534.57
- **Breadth Variance**: 9465403.67
Dataset Statistics
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Generated Benchmarks:
- **Term Types**: 0
- **Taxonomic Relations**: 7016
- **Non-taxonomic Relations**: 0
- **Average Terms per Type**: 0.00
Usage Example
-------------
.. code-block:: python
from ontolearner.ontology import MassSpectrometry
# Initialize and load ontology
ontology = MassSpectrometry()
ontology.load("path/to/ontology.OWL")
# Extract datasets
data = ontology.extract()
# Access specific relations
term_types = data.term_typings
taxonomic_relations = data.type_taxonomies
non_taxonomic_relations = data.type_non_taxonomic_relations
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