Training materials
Scientific topics: LC-MS-based metabolomics
and Keywords: multi-omics data integration
and Difficulty level: Not specified
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Scientific topic
- LC-MS-based metabolomics
- Bottom-up proteomics1
- Data rendering1
- Data visualisation1
- Discovery proteomics1
- Exomes1
- Exometabolomics1
- Genome annotation1
- Genomes1
- Genomics1
- MS-based metabolomics1
- MS-based targeted metabolomics1
- MS-based targeted proteomics1
- MS-based untargeted metabolomics1
- MS-based untargeted proteomics1
- Mass spectrometry-based metabolomics1
- Metabolites1
- Metabolome1
- Metabolomics1
- Metabonomics1
- Metaproteomics1
- NMR-based metabolomics1
- Omics1
- Peptide identification1
- Personal genomics1
- Protein and peptide identification1
- Proteomics1
- Quantitative proteomics1
- Synthetic genomics1
- Targeted proteomics1
- Top-down proteomics1
- Viral genomics1
- Whole genomes1
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Content provider
- European Bioinformatics Institute (EBI)1
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Keyword
- multi-omics data integration
- Metabolites2
- Metabolome2
- Metabolomics2
- ATAC-seq1
- ChIP-seq1
- Comparative genomics1
- Data management1
- Data science1
- Epigenetics1
- FAIR data1
- Galaxy1
- General1
- Genome annotation1
- Genome assembly1
- Genomics1
- Long read sequencing1
- Machine learning1
- Mass spectrometry1
- Metagenomics1
- Microbiology1
- NMR spectroscopy1
- Next generation sequencing1
- Proteomics1
- Python1
- R1
- RDM1
- RNA-seq1
- Reproducibility1
- Single-cell sequencing1
- Small molecules1
- Snakemake1
- Spatial omics1
- Statistics1
- Transcriptomics1
- Unix/Linux1
- Variant analysis1
- Version control1
- networks and pathways1
- single-cell transcriptomics1
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Difficulty level
- Not specified
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Target audience
- Clinicians1
- PhD students1
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Resource type
- e-learning1
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