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Scientific topic
- Bottom-up proteomics2
- Discovery proteomics2
- MS-based targeted proteomics2
- MS-based untargeted proteomics2
- Metaproteomics2
- Peptide identification2
- Protein and peptide identification2
- Proteomics2
- Quantitative proteomics2
- Targeted proteomics2
- Top-down proteomics2
- Biodiversity1
- Proteogenomics1
- Taxonomy1
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Content provider
- GTN2
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Keyword
- Proteomics
- Single Cell25
- MIGHTS11
- paper-replication11
- 10x5
- data management5
- jupyter-notebook5
- Transcriptomics4
- Epigenetics3
- data import3
- rmarkdown-notebook2
- transcriptomics2
- work-in-progress2
- ChIP-seq1
- Contributing to the Galaxy Training Material1
- QC1
- Statistics and machine learning1
- bulk1
- collections1
- cyoa1
- deutsch1
- drosophila1
- epigenetics1
- español1
- italiano1
- miRNA1
- microgalaxy1
- plants1
- pseudobulk1
- rna-seq1
- stress tolerance1
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Competency level
- Beginner
- Intermediate1
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Target audience
- Students2
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Contributor
- Pavankumar Videm
- Saskia Hiltemann19
- Subina Mehta13
- Björn Grüning11
- Melanie Föll10
- Helena Rasche8
- Pratik Jagtap8
- Bérénice Batut7
- Katherine Do7
- Timothy J. Griffin7
- Nicola Soranzo6
- Armin Dadras4
- Martin Čech4
- Niall Beard4
- Florence Combes2
- Florian Christoph Sigloch2
- William Durand2
- Clemens Blank1
- Cristóbal Gallardo1
- Helge Hecht1
- Kristina Gomoryova1
- Matthias Fahrner1
- Mélanie Petera1
- Wolfgang Maier1
- npinter1
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Resource type
- e-learning2
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Related resource
- Associated Training Datasets2
- Associated Workflows1
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