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Content provider
- European Bioinformatics Institute (EBI)1
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Keyword
- Spatial modelling
- IntAct Molecular Interaction Database9
- Complex Portal5
- Reactome pathways database4
- Proteins (proteins)3
- UniProt: The Universal Protein Resource3
- BioModels database2
- Ensembl2
- HMMER - protein homology search2
- InterPro2
- Open access2
- PDBeFold2
- Pfam2
- Protein classification2
- Protein sequence2
- Protein structure2
- Reactome Pathways Analysis2
- Systems (systems)2
- ArrayExpress Archive of Functional Genomics Data1
- Biocuration1
- Chemical Entities of Biological Interest1
- Chemical biology (chemical-biology)1
- Cross domain (cross-domain)1
- Cytoscape1
- DNA & RNA (dna-rna)1
- Data curation1
- Data management1
- EBI BioSamples Database1
- ENA Sequence Search1
- Electron Microscopy Public Image Archive - EMPIAR1
- Europe PubMed Central1
- Expression Atlas1
- FAIR1
- GDPR1
- Gene expression (gene-expression)1
- IMEx1
- Logic modelling1
- MetaboLights: Metabolomics repository and reference database1
- Metadata1
- PRIDE: The Proteomics Identifications Database1
- PSICQUIC1
- Pathway enrichment analysis1
- Protein Data Bank in Europe1
- Protein- protein interaction1
- Protein-protein interaction1
- Structures (structures)1
- Systems (Systems)1
- proteomics1
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Scientific topic
- Biological model1
- Biological modelling1
- Biological network analysis1
- Biological network modelling1
- Biological network prediction1
- Biological system modelling1
- Dynamic systems1
- Dynamical systems1
- Dynymical systems theory1
- Graph analytics1
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- Monte Carlo methods1
- Multivariate analysis1
- Network analysis1
- Network comparison1
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- Network prediction1
- Network simulation1
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- Systems biology1
- Systems modelling1
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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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