- Home
- Materials
Filter
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Bottom-up proteomics31
- Discovery proteomics31
- MS-based targeted proteomics31
- MS-based untargeted proteomics31
- Metaproteomics31
- Peptide identification31
- Protein and peptide identification31
- Proteomics31
- Quantitative proteomics31
- Targeted proteomics31
- Top-down proteomics31
- Proteogenomics4
- Taxonomy3
- Biodiversity2
- Community analysis2
- Environmental microbiology2
- Metagenomics2
- Metatranscriptomics2
- Microbial ecology2
- Microbiome2
- Molecular community analysis2
- Shotgun metagenomics2
- Show N_FILTERS more
-
-
-
Content provider
- Galaxy Training31
- Show N_FILTERS more
-
-
-
Keyword
- Proteomics
- Galaxy Server administration37
- Single Cell24
- microgalaxy24
- Transcriptomics20
- Contributing to the Galaxy Training Material17
- Genome Annotation16
- Using Galaxy and Managing your Data16
- Development in Galaxy15
- Statistics and machine learning15
- ansible15
- Variant Analysis14
- Assembly13
- git-gat13
- jbrowse113
- 10x12
- Epigenetics12
- interactive-tools12
- Ecology11
- Introduction to Galaxy Analyses11
- Teaching and Hosting Galaxy training11
- gmod11
- prokaryote10
- Foundations of Data Science9
- earth-system9
- eukaryote9
- jupyter-notebook9
- DDA8
- MIGHTS8
- one-health8
- paper-replication8
- Climate7
- Microbiome7
- Computational chemistry6
- FAIR Data, Workflows, and Research6
- Imaging6
- Metabolomics6
- Sequence analysis6
- Visualisation6
- covid196
- cyoa6
- EBV dataset5
- EBV workflow5
- collections5
- data stewardship5
- dmp5
- fair5
- jobs5
- label-TMT115
- ocean5
- plants5
- DIA4
- HeLa4
- QC4
- assembly4
- illumina4
- mouse4
- nanopore4
- work-in-progress4
- workflows4
- ChIP-seq3
- Genetic composition EBV class3
- RAD-seq3
- amr3
- bacteria3
- monitoring3
- proteogenomics3
- virology3
- 16S2
- Data Paper2
- EML2
- Evolution2
- FAIR2
- Metadata2
- Python2
- Species population EBV class2
- Species populations EBV class2
- VGP2
- apollo22
- bulk2
- deep-learning2
- deploying2
- epigenetics2
- essential genes2
- human2
- jupyter-lab2
- kubernetes2
- label-free2
- machine-learning2
- maker2
- marine omics2
- metabarcoding2
- netcdf data2
- pacbio2
- rna-seq2
- storage2
- subdomain2
- training2
- Biodiversity1
- CRISPR1
- Show N_FILTERS more
-
-
-
Difficulty level
- Beginner15
- Intermediate14
- Advanced2
- Show N_FILTERS more
-
-
-
Target audience
- Students31
- Show N_FILTERS more
-
-
-
Author
- Subina Mehta13
- Björn Grüning8
- Melanie Föll8
- Pratik Jagtap8
- Timothy J. Griffin8
- Florian Christoph Sigloch7
- Matthias Fahrner7
- Dechen Bhuming5
- James Johnson5
- Katherine Do5
- Praveen Kumar5
- Emma Leith4
- Marie Crane3
- Ray Sajulga3
- Daniel Blankenberg2
- Jayadev Joshi2
- Clemens Blank1
- David Christiany1
- Florence Combes1
- Klemens Fröhlich1
- Valentin Loux1
- Yves Vandenbrouck1
- Show N_FILTERS more
-
-
-
Contributor
- Björn Grüning
- Saskia Hiltemann30
- Melanie Föll26
- Helena Rasche24
- Subina Mehta20
- Bérénice Batut19
- Nicola Soranzo13
- Niall Beard8
- Florian Christoph Sigloch6
- Pratik Jagtap5
- Timothy J. Griffin5
- William Durand5
- Clemens Blank4
- Mallory Freeberg3
- Florence Combes2
- Harald Barsnes2
- Jayadev Joshi2
- Lennart Martens2
- Lieven Clement2
- Anthony Bretaudeau1
- Anton Nekrutenko1
- Cristóbal Gallardo1
- David Bouyssié1
- James Johnson1
- Lucille Delisle1
- Marc Vaudel1
- Matthias Fahrner1
- Mélanie Petera1
- Pavankumar Videm1
- Veit Schwämmle1
- Wolfgang Maier1
- npinter1
- Show N_FILTERS more
-
-
-
Resource type
- e-learning30
- slides1
- Show N_FILTERS more
-
- Show disabled materials
- Show archived materials
