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14 materials found

Target audience: Bioinformaticians 


FAIR principles in practice for health data

FAIR principles in practice for health data was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and is part of a series of trainings centered around the [SPHN Interoperability...

Scientific topics: Medical informatics, FAIR data, Data management, Computer science

Operations: Design, Standardisation and normalisation

Keywords: Clinical data, RDF, Knowledge graph, Semantic framework, FAIR, Findability, Accessibility, Interoperability, Reusability

Resource type: Video, E-learning

Expanding the SPHN RDF Schema

Expanding the SPHN RDF Schema is a training that was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and is part of a series of trainings centered around the [SPHN Interoperability...

Scientific topics: Computer science, Data management, FAIR data, Medical informatics, Ontology and terminology

Operations: Data handling, Visualisation, Ontology visualisation, Editing

Keywords: Clinical data, Data semantics, FAIR, Ontology editing, Protegé, RDF, OWL

Resource type: Video, Training materials, E-learning

Training Primer (RDF and SPARQL)

The RDF and SPARQL training primer was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and is part of a series of trainings centered around the [SPHN Interoperability...

Scientific topics: Ontology and terminology, Medical informatics, FAIR data, Data management, Computer science

Operations: Data retrieval, Data handling, Database search, Query and retrieval

Keywords: Clinical data, SPARQL, Query data, RDF, Knowledge graph, Triplestore, Ontology

Resource type: Video, Training materials, E-learning

Semantic Standards

This video was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and serves as an introduction to the main standards used within the [SPHN Interoperability...

Scientific topics: Ontology and terminology, Medical informatics, FAIR data, Data management, Computer science

Operations: Standardisation and normalisation, Data handling

Keywords: Clinical data, Data semantics, FAIR, Standards, Ontology, SNOMED CT, LOINC, ATC, CHOP, ICD, Interoperability

Resource type: Video, Training materials, E-learning

RDF Schema and Data Visualization

RDF Schema and Data Visualization is a training that was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and is part of a series of trainings centered around the [SPHN Interoperability...

Scientific topics: Computer science, Data management, FAIR data, Medical informatics, Data visualisation

Operations: Query and retrieval, Data handling, Data retrieval, Visualisation, Ontology visualisation

Keywords: Clinical data, SPARQL, Data visualization, RDF, Knowledge graph, GraphDB, Mock data

Resource type: Video, Training materials, Mock data, E-learning

Validate Graph Data with SHACL

Validate Graph Data with SHACL is a training that was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and is part of a series of trainings centered around the [SPHN Interoperability...

Scientific topics: Computer science, Data management, FAIR data, Medical informatics

Operations: Data handling, Validation

Keywords: Clinical data, SHACL, Data validation, RDF, Knowledge graph, GraphDB, RDF, RDF graph validation

Resource type: Video, Training materials, E-learning

How to use Python and R with RDF Data

How to use Python and R with RDF Data is a training that was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and is part of a series of trainings centred around the [SPHN Interoperability...

Scientific topics: Medical informatics, FAIR data, Data management, Computer science

Operations: Data retrieval, Data handling, Query and retrieval

Keywords: Clinical data, SPARQL, Query data, RDF, Knowledge graph, Python, R, GraphDB

Resource type: Video, Training materials, Mock data, E-learning

Querying Data with SPARQL

Querying Data with SPARQL is a training that was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and is part of a series of trainings centered around the [SPHN Interoperability...

Scientific topics: Computer science, Data management, FAIR data, Medical informatics

Operations: Query and retrieval, Database search, Data handling, Data retrieval

Keywords: Clinical data, SPARQL, Query data, RDF, Knowledge graph, SNOMED CT, LOINC, Interoperability

Resource type: Video, Training materials with mock data, E-learning

InterMine user tutorial

InterMine integrates biological data sources, making it easy to query and analyse data. It is a downloadable platform that operators can install and integrate with their own systems.

InterMine is a generic model-based platform that is used to provide data to end users in many different life...

Keywords: Data querying, Data analysis, Data download, FAIR

Resource type: Tutorial

InterMine user manual

InterMine integrates biological data sources, making it easy to query and analyse data. It is a downloadable platform that operators can install and integrate with their own systems.

InterMine is a generic model-based platform that is used to provide data to end users in many different life...

Keywords: Data querying, data visualization, Data download, FAIR

Resource type: Documentation

InterMine operator manual

InterMine integrates biological data sources, making it easy to query and analyse data. It is a downloadable platform that operators can install and integrate with their own systems.

InterMine is a generic model-based platform that is used to provide data to end users in many different life...

Keywords: Data integration, Data analysis, Data publishing, FAIR

Resource type: Documentation

Text-mining exercises

Hands-on exercises using a variety of text-mining tools and databases based on text mining, to interpret the results from microbiome studies.

The exercises will teach you how to:

  • automatically highlight named entities in a web page
  • use named entity recognition for synonym-aware...

Scientific topics: Data mining, Natural language processing, Metagenomics, Microbial ecology

STRING exercises

Hands-on exercises using the STRING, STITCH, and DISEASES databases through their respective web interfaces. The exercises will teach you how to:

  • retrieve a STRING network for a protein of interest *...

Scientific topics: Protein interactions, Molecular interactions, pathways and networks, Bioinformatics

Cytoscape stringApp exercises

Hands-on exercises using the stringApp for Cytoscape to retrieve molecular networks from the STRING and STITCH databases.

The exercises will teach you how to:

  • retrieve...

Scientific topics: Data visualisation, Proteomics, Protein interactions, Molecular interactions, pathways and networks, Bioinformatics