- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Active learning1
- Data rendering1
- Data visualisation1
- Ensembl learning1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Neural networks1
- Pipelines1
- Recommender system1
- Reinforcement learning1
- Software integration1
- Supervised learning1
- Tool integration1
- Tool interoperability1
- Unsupervised learning1
- Workflows1
- Show N_FILTERS more
-
-
-
Content provider
- Glittr.org1
- Show N_FILTERS more
-
-
-
Difficulty level
- Not specified1
- Show N_FILTERS more
-
-
-
Contributor
- NIAID BCBB
- carpentries-incubator7
- ELIXIR Europe Training4
- NBIS - National Bioinformatics Infrastructure Sweden3
- jhudsl3
- Data Carpentry2
- Thomas Denecker2
- John Sundh1
- @IFB-ElixirFr1
- Amos Bairoch1
- Applied Genomics1
- Bioinformatics, Rockefeller University1
- Computational Biology and Bioinformatics at UCLouvain1
- Dockstore1
- FAIRplus1
- Fred Hutch Data Science Lab1
- Functional Genomics Laboratory1
- Gabriella Rustici1
- Galaxy Project1
- Gautier Sarah1
- Hélène Chiapello1
- Institut Français de Bioinformatique (IFB)1
- Jean-François Dufayard1
- Julien Roux1
- Julien Seiler1
- Leif Wigge1
- Lionel Maurel1
- Mark Fernandes1
- Master of Environmental Data Science (MEDS) program1
- Paulette Lieby1
- R. Burke Squires1
- Rasmus Ågren1
- SIB Swiss Institute of Bioinformatics1
- Teaching materials at the Harvard Chan Bioinformatics Core1
- The Carpentries Lab1
- The Turing Way1
- Tuur Muyldermans1
- UM Carpentries1
- University of Basel1
- VIB Technologies: Training material and software projects1
- pajanne1
- rostools1
- Show N_FILTERS more
-
- Hide archived materials
