Training materials
Difficulty level: Intermediate
and Scientific topics: MS-based untargeted proteomics
and Contributors: Charlotte Soneson
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Scientific topic
- MS-based untargeted proteomics
- Bayesian methods1
- Biostatistics1
- Bottom-up proteomics1
- Descriptive statistics1
- Discovery proteomics1
- Gaussian processes1
- Inferential statistics1
- MS-based targeted proteomics1
- Markov processes1
- Metaproteomics1
- MicroRNA sequencing1
- Multivariate statistics1
- Omics1
- Peptide identification1
- Probabilistic graphical model1
- Probability1
- Protein and peptide identification1
- Proteomics1
- Quantitative proteomics1
- RNA sequencing1
- RNA-Seq1
- RNA-Seq analysis1
- Small RNA sequencing1
- Small RNA-Seq1
- Small-Seq1
- Statistics1
- Statistics and probability1
- Targeted proteomics1
- Top-down proteomics1
- Transcriptome profiling1
- WTSS1
- Whole transcriptome shotgun sequencing1
- miRNA-seq1
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Content provider
- UCLouvain Bioinformatics Platform1
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Difficulty level
- Intermediate
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Target audience
- PhD students1
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Contributor
- Charlotte Soneson
- Pratik Jagtap6
- Subina Mehta6
- Timothy J. Griffin6
- Praveen Kumar5
- Matthias Fahrner4
- Melanie Föll4
- Emma Leith3
- James Johnson3
- Marie Crane3
- Ray Sajulga3
- Björn Grüning2
- Daniel Blankenberg2
- Florian Christoph Sigloch2
- Jayadev Joshi2
- Janick Mathys1
- John "Scooter" Morris1
- Koen Van den Berge1
- Laurent Gatto1
- Lieven Clement1
- Martin Morgan1
- Oliver Crook1
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