- Home
- Materials
Filter
Sort
-
-
Filter Clear filters
-
-
Content provider
- Galaxy Training2
- Show N_FILTERS more
-
-
-
Keyword
- Foundations of Data Science
- Assembly5
- microgalaxy5
- Single Cell4
- 10x3
- Microbiome3
- Sequence analysis3
- Statistics and machine learning3
- illumina3
- metagenomics3
- Genome Annotation2
- Introduction to Galaxy Analyses2
- MIGHTS2
- assembly2
- bacteria2
- eukaryote2
- jbrowse12
- nanopore2
- paper-replication2
- plants2
- Python1
- QC1
- Transcriptomics1
- Using Galaxy and Managing your Data1
- VGP1
- Variant Analysis1
- animals1
- beer1
- binning1
- citizen science1
- covid191
- deep-learning1
- dephosphorylation-site-prediction1
- diversity1
- fine-tuning1
- genome1
- gmod1
- interactive-tools1
- jupyter-lab1
- jupyter-notebook1
- machine-learning1
- one-health1
- pacbio1
- virology1
- Show N_FILTERS more
-
-
-
Difficulty level
- Beginner2
- Show N_FILTERS more
-
-
-
Target audience
- Students2
- Show N_FILTERS more
-
-
-
Contributor
- Teresa Müller
- Helena Rasche41
- Saskia Hiltemann40
- Donny Vrins20
- Anthony Bretaudeau16
- Marius van den Beek16
- Peter van Heusden16
- Bazante Sanders15
- Wendi Bacon14
- Beatriz Serrano-Solano12
- Björn Grüning9
- Bérénice Batut5
- Fotis E. Psomopoulos3
- Maria Christina Maniou3
- Anton Nekrutenko2
- Sofoklis Keisaris2
- Cristóbal Gallardo1
- Martin Čech1
- Mateusz Kuzak1
- Nate Coraor1
- Simon Gladman1
- Toby Hodges1
- Show N_FILTERS more
-
-
-
Resource type
- e-learning2
- Show N_FILTERS more
-
-
-
Related resource
- Associated Training Datasets2
- Quarto/RMarkdown Notebook1
- Show N_FILTERS more
-
- Show disabled materials
- Show archived materials
