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Scientific topic
- Proteomics
- Bottom-up proteomics2
- Discovery proteomics2
- MS-based targeted proteomics2
- MS-based untargeted proteomics2
- Metaproteomics2
- Peptide identification2
- Protein and peptide identification2
- Quantitative proteomics2
- Targeted proteomics2
- Top-down proteomics2
- Bayesian methods1
- Biostatistics1
- DNA variation1
- Descriptive statistics1
- Gaussian processes1
- Genetic variation1
- Genomic variation1
- Inferential statistics1
- Markov processes1
- Multivariate statistics1
- Mutation1
- Polymorphism1
- Probabilistic graphical model1
- Probability1
- Somatic mutations1
- Statistics1
- Statistics and probability1
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Content provider
- Galaxy Training2
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Keyword
- Proteomics2
- ML1
- cancer1
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Difficulty level
- Intermediate2
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Target audience
- Students2
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Author
- Daniel Blankenberg
- Subina Mehta13
- Pratik Jagtap8
- Timothy J. Griffin8
- Matthias Fahrner7
- Melanie Föll7
- Björn Grüning6
- Dechen Bhuming5
- Florian Christoph Sigloch5
- James Johnson5
- Katherine Do5
- Praveen Kumar5
- Emma Leith4
- Marie Crane3
- Ray Sajulga3
- David Christiany2
- Florence Combes2
- Jayadev Joshi2
- Valentin Loux2
- Yves Vandenbrouck2
- Clemens Blank1
- Klemens Fröhlich1
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Resource type
- e-learning2
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Related resource
- Associated Workflows2
- Associated Training Datasets1
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