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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
- Galaxy Training2
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Keyword
- Proteomics
- Single Cell25
- MIGHTS11
- paper-replication11
- 10x6
- data management5
- jupyter-notebook5
- Transcriptomics4
- Epigenetics3
- data import3
- epigenetics2
- rmarkdown-notebook2
- transcriptomics2
- work-in-progress2
- ChIP-seq1
- Contributing to the Galaxy Training Material1
- QC1
- alternative splicing1
- bulk1
- collections1
- cyoa1
- drosophila1
- isoform switching1
- miRNA1
- microgalaxy1
- plants1
- pseudobulk1
- rna-seq1
- single-cell1
- stress tolerance1
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Difficulty level
- Beginner2
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Target audience
- Students2
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Contributor
- Pavankumar Videm
- Björn Grüning31
- Saskia Hiltemann31
- Melanie Föll25
- Subina Mehta25
- Helena Rasche23
- Bérénice Batut18
- Pratik Jagtap13
- Timothy J. Griffin13
- Nicola Soranzo12
- Armin Dadras8
- Martin Čech8
- Niall Beard8
- Florian Christoph Sigloch6
- William Durand5
- Clemens Blank4
- Mallory Freeberg3
- Florence Combes2
- Jayadev Joshi2
- Anthony Bretaudeau1
- Anton Nekrutenko1
- Helge Hecht1
- James Johnson1
- Kristina Gomoryova1
- Lucille Delisle1
- Matthias Fahrner1
- Mélanie Petera1
- Wolfgang Maier1
- npinter1
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Resource type
- e-learning
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Related resource
- Associated Training Datasets2
- Associated Workflows1
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