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Content provider
- European Bioinformatics Institute (EBI)7
- VIB Conferences1
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Keyword
- Biological networks2
- Proteins (proteins)2
- Bioinformatics1
- Building biological networks1
- Complex Portal1
- Complex portal1
- Docking1
- Drug design1
- Graph theory1
- IMEx1
- IntAct Molecular Interaction Database1
- PPI networks1
- PSICQUIC1
- Pathways1
- Protein Data Bank in Europe1
- Protein identification1
- Protein interactions1
- Proteins1
- Single Cell technologies1
- antibodies1
- data visualization1
- interactomics1
- medical application1
- protein1
- protein sequence analysis1
- protein structure1
- protein-protein interaction networks1
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Scientific topic
- Bioinformatics741
- Genome annotation321
- Exomes312
- Genomes312
- Genomics312
- Personal genomics312
- Synthetic genomics312
- Viral genomics312
- Whole genomes312
- Biological modelling217
- Biological system modelling217
- Systems biology217
- Systems modelling217
- Biomedical research185
- Clinical medicine185
- Experimental medicine185
- General medicine185
- Internal medicine185
- Medicine185
- Data management156
- Metadata management156
- Research data management (RDM)156
- 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
- Cloud computing62
- Computer science62
- HPC62
- High performance computing62
- High-performance computing62
- Exometabolomics58
- LC-MS-based metabolomics58
- MS-based metabolomics58
- MS-based targeted metabolomics58
- MS-based untargeted metabolomics58
- Mass spectrometry-based metabolomics58
- Metabolites58
- Metabolome58
- Metabolomics58
- Metabonomics58
- NMR-based metabolomics58
- Immunology56
- Computational pharmacology54
- Pharmacoinformatics54
- Pharmacology54
- Comparative transcriptomics51
- Transcriptome51
- Transcriptomics51
- Biomathematics50
- Computational biology50
- Data archival50
- Data archiving50
- Data curation50
- Data curation and archival50
- Data preservation50
- Database curation50
- FAIR data50
- Findable, accessible, interoperable, reusable data50
- Mathematical biology50
- Research data archiving50
- Theoretical biology50
- Pipelines46
- Software integration46
- Tool integration46
- Tool interoperability46
- Workflows46
- Active learning45
- Ensembl learning45
- Kernel methods45
- Knowledge representation45
- Machine learning45
- Neural networks45
- Recommender system45
- Reinforcement learning45
- Supervised learning45
- Unsupervised learning45
- RNA-Seq analysis43
- Data visualisation39
- Metagenomics34
- MicroRNA sequencing34
- RNA sequencing34
- RNA-Seq34
- Shotgun metagenomics34
- Small RNA sequencing34
- Small RNA-Seq34
- Small-Seq34
- Transcriptome profiling34
- WTSS34
- Whole transcriptome shotgun sequencing34
- miRNA-seq34
- Data rendering32
- Antimicrobial stewardship30
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Target audience
- Academics1
- Bioinformaticians1
- PhD students1
- 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
- Post-Docs1
- 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
- industry1
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Eligibility
- First come first served3
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Instructor
- Birgit Meldal2
- Livia Perfetto2
- Anjali Shrivastava1
- David Armstrong1
- Erin Haskell1
- Evangelia Petsalaki1
- Glyn Bradley1
- Hema Bye-A-Jee1
- Kalpana Panneerselvam1
- Katja Luck1
- Marton Olbei1
- Matt Rogon1
- Melissa Burke1
- Noemi Del Toro Ayllon1
- Pablo Porras Millan1
- Rob Ewing1
- Sandra Orchard1
- Tamas Korcsmáros1
- Thawfeek Mohamed Varusai1
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