Training materials
Scientific topics: Data management
and Competency level: Not specified
and Target audience: Researchers
2 materials found
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Scientific topic
- Data management
- Exomes4
- Genome annotation4
- Genomes4
- Genomics4
- Personal genomics4
- Synthetic genomics4
- Viral genomics4
- Whole genomes4
- Metadata management2
- Research data management (RDM)2
- Bioinformatics1
- Bottom-up proteomics1
- Comparative transcriptomics1
- Discovery proteomics1
- Evolution1
- Evolutionary biology1
- Gene expression microarray1
- Genotyping array1
- MS-based targeted proteomics1
- MS-based untargeted proteomics1
- Marine biology1
- Metagenomics1
- Metaproteomics1
- Methylation array1
- MicroRNA array1
- Microarray experiment1
- Microarrays1
- Multichannel microarray1
- One channel microarray1
- Peptide identification1
- Proprietary platform micoarray1
- Protein and peptide identification1
- Proteomics1
- Quantitative proteomics1
- RNA1
- RNA chips1
- RNA microarrays1
- Rare diseases1
- Reverse phase protein array1
- SNP array1
- Shotgun metagenomics1
- Small RNA1
- Targeted proteomics1
- Tiling arrays1
- Tissue microarray1
- Top-down proteomics1
- Transcriptome1
- Transcriptomics1
- Two channel microarray1
- aCGH microarray1
- mRNA microarray1
- miRNA array1
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Competency level
- Not specified
- Beginner20
- Intermediate4
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Target audience
- Researchers
- Life Science Researchers8
- life scientists8
- Clinicians5
- PhD students5
- data stewards2
- DMP writers1
- PhD candidates1
- Researcher in life sciences1
- 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
- bioinformaticians1
- data managers1
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Resource type
- Video1
- Webinar1
- online modules1
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Related resource
- Data Stewardship Wizard1
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