- Home
- Materials
Filter
Sort
-
-
Filter Clear filters
-
-
Content provider
- VIB Training & Conferences1
- Show N_FILTERS more
-
-
-
Keyword
- Python
- COPASI2
- Computational modelling2
- ComputationalBiology2
- Data Steward2
- Data management2
- FAIR2
- Kinetic modeling2
- SystemsBiology2
- data science1
- Artificial Intelligence1
- Bioinformatics1
- Biomedical data1
- Biomodelling1
- Data Life Cycle1
- Data Management Plan1
- Data Stewardship Wizard1
- Data management planning1
- FAIR Research1
- FAIRplus1
- Machine learning1
- Mathematical modelling1
- Model1
- Open data1
- Open science1
- Python Programming1
- RDM1
- Research Data Management1
- Research Infrastructure1
- Signalling1
- Training (Training)1
- boolean modelling1
- cancer1
- data FAIRness1
- in silico drug design, Drug design, Drug discovery, Drug screening, pharmacophore, chemical biology, QSAR, Molecular docking, molecular modelling, PDBe, PDBe-KB, ChEMBL, De novo, deep learning, cheminformatics, AlphaFold, Quantum mechanics/molecular mechanics1
- life-sciences1
- logical modelling1
- modeling1
- programming1
- research data management1
- Show N_FILTERS more
-
-
-
Competency level
- Beginner1
- Show N_FILTERS more
-
-
-
Target audience
- Life Science Researchers
- Beginner2
- Bioinformaticians2
- Data Managers2
- PhD Students2
- Biomedical Researchers1
- Data 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
- Research Scientists1
- Researcher1
- Scientists1
- Students1
- beginner bioinformaticians1
- Show N_FILTERS more
-
-
-
Contributor
- Alexander Botzki1
- Tuur Muyldermans1
- Show N_FILTERS more
-
-
-
Resource type
- Jupyter notebooks1
- Show N_FILTERS more
-
-
-
Status
- Active
- Show N_FILTERS more
-
- Show materials from all spaces
- Show disabled materials
- Show materials with broken links
- Show archived materials