Training materials
Keywords: Spatial omics
and Scientific topics: MS-based untargeted proteomics
and Difficulty level: Not specified
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Scientific topic
- MS-based untargeted proteomics
- Bottom-up proteomics1
- Data rendering1
- Data visualisation1
- Discovery proteomics1
- Exomes1
- Exometabolomics1
- Genome annotation1
- Genomes1
- Genomics1
- LC-MS-based metabolomics1
- MS-based metabolomics1
- MS-based targeted metabolomics1
- MS-based targeted proteomics1
- MS-based untargeted metabolomics1
- 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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- European Bioinformatics Institute (EBI)1
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Keyword
- Spatial omics
- Proteomics8
- R5
- Galaxy2
- Machine learning2
- Next generation sequencing2
- Python2
- RNA-seq2
- Transcriptomics2
- ATAC-seq1
- ChIP-seq1
- Comparative genomics1
- Data analysis1
- Data management1
- Data science1
- EeLP1
- Epigenetics1
- FAIR data1
- General1
- Genome annotation1
- Genome assembly1
- Genomics1
- Introduction1
- Long read sequencing1
- Metabolomics1
- Metagenomics1
- Microbiology1
- Peptide1
- Phosphoproteomics1
- Protein Mass Spectrometry1
- Proteomes1
- Proteomic data analysis1
- Reproducibility1
- Single-cell sequencing1
- Snakemake1
- Statistics1
- Unix/Linux1
- Variant analysis1
- Version control1
- eLearning1
- multi-omics data integration1
- proteomics1
- single-cell transcriptomics1
- training1
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Difficulty level
- Not specified
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- Clinicians1
- PhD students1
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- e-learning1
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