- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Content provider
- de.NBI1
- Show N_FILTERS more
-
-
-
Keyword
- Python
- Bioinformatics2
- Cloud computing2
- Command line2
- Data analysis2
- FAIR2
- HPC2
- Shell2
- Amazon Web Services1
- Data Analysis1
- EeLP1
- FAIR Research1
- Galaxy1
- Genomics1
- High performance computing1
- In situ sequencing1
- Metadata1
- Multiomics1
- Open Science1
- Programming1
- Python biologists1
- Rare Diseases & Research1
- Repositories1
- Reproducibility1
- Sequence Analysis1
- Single cell RNAseq1
- Software1
- Spatial Transcriptomics1
- Tidy data1
- bioinformatics1
- eLearning1
- genomics1
- proteomics1
- spatial1
- training1
- Show N_FILTERS more
-
-
-
Difficulty level
- Beginner1
- Show N_FILTERS more
-
-
-
Target audience
- PhD Students
- Biologists7
- beginner bioinformaticians7
- Biologists, Genomicists, Computer Scientists6
- bioinformaticians4
- Students3
- Clinicians2
- PhD students2
- programmers2
- Beginner1
- Bench biologists1
- Bioinformaticians1
- Biomedical Researchers1
- Computational biologists1
- Data Managers1
- Data Scientists1
- Life Science Researchers1
- Life scientists1
- Life scientists, bioinformaticians and researchers who are familiar with writing Python code and core Python elements, and would like to use it in their daily data exploration and visualization tasks.1
- PhD1
- Research Scientists1
- Scientists1
- computational scientists1
- post-docs1
- software engineers1
- Show N_FILTERS more
-
-
-
Resource type
- E-Learning1
- Training materials1
- Show N_FILTERS more
-
-
-
Status
- Active1
- Show N_FILTERS more
-
- Hide archived materials
