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Content provider
- European Bioinformatics Institute (EBI)5
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Keyword
- Biological networks2
- Bioinformatics1
- Building biological networks1
- Complex portal1
- Docking1
- Drug design1
- Graph theory1
- IMEx1
- IntAct Molecular Interaction Database1
- PPI networks1
- PSICQUIC1
- Pathways1
- Protein interactions1
- Proteins (proteins)1
- data visualization1
- medical application1
- protein structure1
- protein-protein interaction networks1
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Scientific topic
- Bioinformatics1099
- Genome annotation302
- Exomes299
- Genomes299
- Genomics299
- Personal genomics299
- Synthetic genomics299
- Viral genomics299
- Whole genomes299
- Biological modelling250
- Biological system modelling250
- Systems biology250
- Systems modelling250
- Biomedical research219
- Clinical medicine219
- Experimental medicine219
- General medicine219
- Internal medicine219
- Medicine219
- Data visualisation185
- Data rendering178
- Bottom-up proteomics152
- Discovery proteomics152
- MS-based targeted proteomics152
- MS-based untargeted proteomics152
- Metaproteomics152
- Peptide identification152
- Protein and peptide identification152
- Proteomics152
- Quantitative proteomics152
- Targeted proteomics152
- Top-down proteomics152
- Data management125
- Metadata management125
- Data mining113
- Pattern recognition113
- Aerobiology98
- Behavioural biology98
- Biological rhythms98
- Biological science98
- Biology98
- Chronobiology98
- Cryobiology98
- Reproductive biology98
- Comparative transcriptomics90
- Transcriptome90
- Transcriptomics90
- Exometabolomics75
- LC-MS-based metabolomics75
- MS-based metabolomics75
- MS-based targeted metabolomics75
- MS-based untargeted metabolomics75
- Mass spectrometry-based metabolomics75
- Metabolites75
- Metabolome75
- Metabolomics75
- Metabonomics75
- NMR-based metabolomics75
- Functional genomics65
- Immunology65
- Cloud computing60
- Computer science60
- HPC60
- High performance computing60
- High-performance computing60
- Computational pharmacology59
- Pharmacoinformatics59
- Pharmacology59
- Active learning50
- Ensembl learning50
- Kernel methods50
- Knowledge representation50
- Machine learning50
- Neural networks50
- Recommender system50
- Reinforcement learning50
- Supervised learning50
- Unsupervised learning50
- Biomathematics47
- Computational biology47
- Mathematical biology47
- Theoretical biology47
- RNA-Seq analysis41
- Pipelines40
- Software integration40
- Tool integration40
- Tool interoperability40
- Workflows40
- Data curation38
- Database curation38
- High-throughput sequencing36
- Chromosome walking35
- Clone verification35
- DNA-Seq35
- DNase-Seq35
- High throughput sequencing35
- NGS35
- NGS data analysis35
- Next gen sequencing35
- Next generation sequencing35
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Event type
- Workshops and courses7
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Country
- Italy3
- United Kingdom1
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Organizer
- European Bioinformatics Institute (EBI)5
- Allegra Via, Lisanna Paladin, Marco Carraro1
- Luana Licata (ELIXIR-IIB Training Team and University of Rome Tor Vergata, Italy), Alberto Calderone (University of Rome Tor Vergata, Italy), Inna Kuperstein (Institut Curie, Paris, France), Allegra Via (ELIXIR-IIB Training Coordinator, IBPM-CNR, Italy) 1
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Target audience
- Bioinformaticians1
- PhD students, postDoc and PIs in Life Sciences, Biomedicine and Bioinformatics with little or no knowledge of network biology tools, who are interested in learning how to apply such tools in their research.1
- Structural biologists1
- This course is aimed at researchers at any career stage within the University of Pavia and Institute of Molecular Genetics who are working with and/or generating their own genomic and biomolecular datasets. No knowledge of programming is required, but an undergraduate level knowledge of Biology / molecular biology would be beneficial.1
- This introductory course is aimed at bench-based biologists, who are involved in, or embarking on projects that will use network and pathway analysis or protein interaction data. For example, you may be using these tools in the interpretation of biological datasets or as part of a systems biology approach. The course requires no prior knowledge of pathway analysis or computer programming skills. Preference will be given to those actively involved in or commencing interaction/pathway-based projects.1
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Eligibility
- First come first served2
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