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Scientific topic
- Quantitative proteomics
- Bayesian methods2
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- Bottom-up proteomics2
- Descriptive statistics2
- Discovery proteomics2
- Gaussian processes2
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- MS-based targeted proteomics2
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- Probability2
- Protein and peptide identification2
- Proteomics2
- Statistics2
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- Targeted proteomics2
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- DNA variation1
- Genetic variation1
- Genomic variation1
- Mutation1
- Polymorphism1
- Somatic mutations1
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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
- Björn Grüning9
- Matthias Fahrner8
- Melanie Föll8
- Pratik Jagtap8
- Subina Mehta8
- Timothy J. Griffin8
- Florian Christoph Sigloch7
- James Johnson5
- Praveen Kumar5
- Emma Leith4
- Marie Crane3
- Ray Sajulga3
- David Christiany2
- Florence Combes2
- Jayadev Joshi2
- Valentin Loux2
- Yves Vandenbrouck2
- Andrea Argentini1
- Clemens Blank1
- Frederik Coppens1
- Hana Pergl Sustkova1
- Helen V. Cook1
- Karl R. Clauser1
- Klemens Fröhlich1
- Lars Juhl Jensen1
- Marek Vrbacky1
- Martin Hubalek1
- Matrix Science Ltd1
- Melanie Foell1
- Monica Schenone1
- Nadezhda T. Doncheva1
- Pavel Dvorak1
- Steve Carr1
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Resource type
- e-learning2
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Related resource
- Associated Workflows2
- Associated Training Datasets1
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