Training materials
Scientific topics: MS-based targeted proteomics
and Keywords: Single-cell sequencing
and Node: Switzerland
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Scientific topic
- MS-based targeted proteomics
- Single-cell genomics49
- Single-cell sequencing49
- Comparative transcriptomics44
- Transcriptome44
- Transcriptomics44
- MicroRNA sequencing41
- RNA sequencing41
- RNA-Seq41
- RNA-Seq analysis41
- Small RNA sequencing41
- Small RNA-Seq41
- Small-Seq41
- Transcriptome profiling41
- WTSS41
- Whole transcriptome shotgun sequencing41
- miRNA-seq41
- Chromosome walking11
- Clone verification11
- DNA-Seq11
- DNase-Seq11
- High throughput sequencing11
- High-throughput sequencing11
- NGS11
- NGS data analysis11
- Next gen sequencing11
- Next generation sequencing11
- Panels11
- Primer walking11
- Sanger sequencing11
- Sequencing11
- Targeted next-generation sequencing panels11
- Exomes6
- Genome annotation6
- Genomes6
- Genomics6
- Personal genomics6
- Synthetic genomics6
- Viral genomics6
- Whole genomes6
- ChIP-exo4
- ChIP-seq4
- ChIP-sequencing4
- Chip Seq4
- Chip sequencing4
- Chip-sequencing4
- DNA methylation4
- Epigenetics4
- Histone modification4
- Methylation profiles4
- Variant pattern analysis4
- Bayesian methods3
- Biostatistics3
- Descriptive statistics3
- Gaussian processes3
- Inferential statistics3
- Markov processes3
- Multivariate statistics3
- Probabilistic graphical model3
- Probability3
- Statistics3
- Statistics and probability3
- Active learning2
- Data rendering2
- Data visualisation2
- Ensembl learning2
- Functional genome annotation2
- Kernel methods2
- Knowledge representation2
- Machine learning2
- Metagenome annotation2
- Metagenomics2
- Neural networks2
- Recommender system2
- Reinforcement learning2
- Shotgun metagenomics2
- Structural genome annotation2
- Supervised learning2
- Unsupervised learning2
- Antimicrobial stewardship1
- Bottom-up proteomics1
- Breakend assembly1
- Comparative genomics1
- Data management1
- Discovery proteomics1
- Enrichment1
- Enrichment analysis1
- Exometabolomics1
- FAIR data1
- Findable, accessible, interoperable, reusable data1
- Functional enrichment1
- Genome assembly1
- Genomic assembly1
- Integrative omics1
- LC-MS-based metabolomics1
- MS-based metabolomics1
- MS-based targeted metabolomics1
- MS-based untargeted metabolomics1
- MS-based untargeted proteomics1
- Mass spectrometry-based metabolomics1
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Content provider
- Glittr.org1
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Keyword
- Single-cell sequencing
- Proteomics8
- R5
- Machine learning2
- Next generation sequencing2
- Python2
- RNA-seq2
- Transcriptomics2
- ATAC-seq1
- ChIP-seq1
- Comparative genomics1
- Data management1
- Data science1
- Epigenetics1
- FAIR data1
- Galaxy1
- General1
- Genome annotation1
- Genome assembly1
- Genomics1
- Long read sequencing1
- Metabolomics1
- Metagenomics1
- Microbiology1
- Proteins (proteins)1
- Reproducibility1
- Snakemake1
- Statistics1
- Unix/Linux1
- Variant analysis1
- Version control1
- human1
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Difficulty level
- Not specified1
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Licence
- MIT License1
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- Galaxy Project1
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