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- Birmingham Metabolomics Training Centre1
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Keyword
- Metabolomics
- QSAR5
- in silico drug design5
- molecular modelling5
- pharmacophore5
- molecular docking4
- Data management plan3
- Data managment plan3
- EeLP3
- PDBe3
- eLearning3
- Chemical biology (chemical-biology)2
- De novo2
- Deep learning2
- PDBe-KB2
- drug discovery2
- virtual screening2
- R-programming1
- AlphaFold1
- Autodock Vina1
- Bioinformatics1
- ChEMBL1
- ChEMBL: Bioactive data for drug discovery (5496)1
- ComputationalBiology1
- Data analysis1
- Data carpentry1
- Data processing1
- Drug design1
- Drug discovery1
- Drug screening1
- Git1
- LigandScout1
- Machine learning1
- Marine Metagenomics1
- Molecular docking1
- Plotting data1
- Protein function1
- Python1
- Quantum mechanics/molecular mechanics1
- R-programming1
- Shell1
- Software Carpentry1
- Statistics1
- Version control1
- bioinformatics1
- biostatistics1
- chemical biology1
- cheminformatics1
- deep learning1
- genomics1
- machine learning1
- omics data1
- protein-3D-structure1
- reaction modelling1
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Target audience
- Master students
- PhD students2
- Academics1
- Anyone interested in learning about metabolomics1
- Biologists1
- Chemists1
- Experimental Researchers1
- Industry1
- Masters students1
- PhD1
- Research scientists1
- Scientists1
- This course is aimed at those wishing to undertake analysis of microbial communities, with a particular emphasis on understanding the interactions and cross-talk of community members, especially using metabolomics. Participants are expected to have a good understanding of microbiology, metagenomics and/or metabolomics. Familiarity with Unix is a requirement, as is general use of bioinformatics tools. 15 places are reserved for SymbNET members. Participants from SymbNET institutes will be entitled to free registration. For any enquiries, please contact [email protected] 1
- Undergraduate students1
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