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- BioData.pt1
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Keyword
- Open data
- Clinical data6
- Knowledge graph5
- RDF5
- FAIR4
- SPARQL4
- Data analysis3
- Databases3
- GraphDB3
- Intrinsically disordered proteins3
- Ontology3
- Query data3
- Bioinformatics2
- Cloud computing2
- Command line2
- Curation2
- HPC2
- Ontologies2
- Open Science2
- Protein function analysis2
- Protein sequence analysis2
- Python2
- RDM2
- Reproducibility2
- Shell2
- Triplestore2
- ATC1
- AlphaFold Database (13181)1
- Amazon Web Services1
- Annotation1
- Biocuration1
- CHOP1
- Containers1
- Data Analysis1
- Data Steward1
- Data management1
- Data semantics1
- Data validation1
- Data visualization1
- Docker1
- FAIR Research1
- Genomics1
- High performance computing1
- ICD1
- Inference1
- Interoperability1
- LOINC1
- Metadata1
- Mock data1
- Nextflow1
- Open science1
- Pipelines1
- Programming1
- Python biologists1
- R1
- RDF graph validation1
- Repositories1
- Research Data Management1
- Reusability1
- SHACL1
- SNOMED CT1
- Sequence Analysis1
- Software skills1
- Standards1
- Strategy1
- Structure prediction1
- Tidy data1
- Training1
- Training (Training)1
- Transposons1
- bioinformatics1
- data repositories1
- genomics1
- intrinsic disorder prediction1
- intrinsically disordered proteins1
- protein sequence1
- research data management1
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Difficulty level
- Not specified1
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Target audience
- Life Science Researchers1
- The course is aimed at research scientists with a minimum of a degree in a biological discipline, including laboratory and clinical staff, as well as specialists in related fields.1
- This workshop is aimed at PhD students within the PhD programme "Genetics, Molecular and Cellular Biology" (University of Pavia) and the PhD programmme "Biomolecular Sciences and Biotechnology" (IUSS, University School for Advanced Studies Pavia.1
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Resource type
- Training materials
- Course materials1
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Status
- Active
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