- Home
- Materials
Filter
Sort
-
-
Filter Clear filters
-
-
Content provider
- GOBLET1
- Show N_FILTERS more
-
-
-
Keyword
- Python
- Data storage2
- De novo2
- Metagenomics2
- Annotation1
- Visualisation1
- Biopython1
- Data analysis1
- Data transfer1
- De novo genome assembly1
- NeLS1
- Plants bioinformatics1
- Python biologists1
- checksums1
- data encryption1
- data organisation1
- data protection1
- data sharing1
- genomics1
- plants1
- setup1
- Show N_FILTERS more
-
-
-
Competency level
- Not specified1
- Show N_FILTERS more
-
-
-
Target audience
- PhD
- Biologists7
- beginner bioinformaticians7
- Biologists, Genomicists, Computer Scientists6
- Beginner4
- PhD Students4
- Students4
- bioinformaticians4
- Bench biologists2
- Bioinformaticians2
- Clinicians2
- Data Managers2
- Life scientists2
- 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.2
- PhD students2
- Researcher2
- Scientists2
- programmers2
- Biomedical Researchers1
- Computational biologists1
- Data Scientists1
- Life Science Researchers1
- PaN Community1
- Photon Community1
- Research Scientists1
- computational scientists1
- life scientists1
- post-docs1
- research data scientist1
- software engineers1
- Show N_FILTERS more
-
-
-
Author
- Paul Yorke1
- Show N_FILTERS more
-
- Show materials from all spaces
- Show disabled materials
- Hide materials with broken links
- Show archived materials
