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Content provider
- European Bioinformatics Institute (EBI)1
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Scientific topic
- Biological modelling3
- Biological models3
- Biological networks3
- Biological pathways3
- Biological system modelling3
- Cellular process pathways3
- Disease pathways3
- Environmental information processing pathways3
- Gene regulatory networks3
- Genetic information processing pathways3
- Interactions3
- Interactome3
- Metabolic pathways3
- Molecular interactions3
- Molecular interactions, pathways and networks3
- Networks3
- Pathways3
- Protein bioinformatics3
- Protein databases3
- Protein informatics3
- Proteins3
- Signal transduction pathways3
- Signaling pathways3
- Systems biology3
- Systems modelling3
- Biological network analysis2
- Biological network modelling2
- Biological network prediction2
- Computational immunology2
- Data archival2
- Data archiving2
- Data curation2
- Data curation and archival2
- Data preservation2
- Database curation2
- Exomes2
- Genome annotation2
- Genomes2
- Genomics2
- Immunoinformatics2
- Immunology2
- Network analysis2
- Network comparison2
- Network modelling2
- Network prediction2
- Network simulation2
- Network topology simulation2
- Personal genomics2
- Protein interaction map2
- Protein interaction networks2
- Protein interactions2
- Protein interactome2
- Protein-DNA interaction2
- Protein-DNA interactions2
- Protein-RNA interaction2
- Protein-RNA interactions2
- Protein-ligand interactions2
- Protein-nucleic acid interactions2
- Protein-protein interactions2
- Research data archiving2
- Synthetic genomics2
- Viral genomics2
- Whole genomes2
- Active learning1
- Bioinformatics1
- Biological model1
- Biological processes1
- Bottom-up proteomics1
- Chemical biology1
- Comparative transcriptomics1
- Data clean-up1
- Data cleaning1
- Data integration1
- Data integration and warehousing1
- Data integrity1
- Data management1
- Data quality1
- Data quality management1
- Data warehousing1
- Discovery proteomics1
- Dynamic systems1
- Dynamical systems1
- Dynymical systems theory1
- Ensembl learning1
- Exometabolomics1
- Functional genomics1
- Graph analytics1
- Kernel methods1
- Kinetic model1
- Knowledge representation1
- LC-MS-based metabolomics1
- MS-based metabolomics1
- MS-based targeted metabolomics1
- MS-based targeted proteomics1
- MS-based untargeted metabolomics1
- MS-based untargeted proteomics1
- Machine learning1
- Mass spectrometry-based metabolomics1
- Mathematical model1
- Mathematics1
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Event type
- Workshops and courses1
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Target audience
- This course is aimed at experimental biologists, bioinformaticians and mathematicians who have just started in systems biology, are familiar with the basic terminology in this field and who are now keen on gaining a better knowledge of systems biology modelling approaches to understand biological and biomedical problems. An experience of using a programming language (e.g Python, R, Matlab) would be a benefit but is not mandatory. An undergraduate knowledge of molecular and cellular biology or some background in mathematics is highly beneficial. 1
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Instructor
- Birgit Meldal
- Alexandra Holinski2
- Lutz Brusch2
- Rahuman Sheriff2
- Tomas Helikar2
- Alfonso Martinez Arias1
- Alfonso Martinez-Arias1
- Andreas Dräger1
- Carmen Pin1
- Dayane Rodrigues Araujo1
- Diego Jahn1
- Eliot Rageneau1
- Elisa Passini1
- Eva Geissen1
- Gaurhari Dass1
- James Yates1
- Jörn Starruß1
- Kalpana Panneerselvam1
- Kausthubh Ramachandran1
- Krishna Kumar Tiwari1
- Pablo Porras Millan1
- Rea Antoniou-Kourounioti1
- Robert Mueller1
- Sara-Jane Dunn1
- Thawfeek Mohamed Varusai1
- Thawfeek Varusai1
- Ugis Sarkans1
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