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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
- Bioinformatics709
- Genome annotation317
- Exomes308
- Genomes308
- Genomics308
- Personal genomics308
- Synthetic genomics308
- Viral genomics308
- Whole genomes308
- Biological modelling219
- Biological system modelling219
- Systems biology219
- Systems modelling219
- Biomedical research189
- Clinical medicine189
- Experimental medicine189
- General medicine189
- Internal medicine189
- Medicine189
- Data management157
- Metadata management157
- Research data management (RDM)157
- Bottom-up proteomics153
- Discovery proteomics153
- MS-based targeted proteomics153
- MS-based untargeted proteomics153
- Metaproteomics153
- Peptide identification153
- Protein and peptide identification153
- Proteomics153
- Quantitative proteomics153
- Targeted proteomics153
- Top-down proteomics153
- Cloud computing61
- Computer science61
- HPC61
- High performance computing61
- High-performance computing61
- Exometabolomics59
- LC-MS-based metabolomics59
- MS-based metabolomics59
- MS-based targeted metabolomics59
- MS-based untargeted metabolomics59
- Mass spectrometry-based metabolomics59
- Metabolites59
- Metabolome59
- Metabolomics59
- Metabonomics59
- NMR-based metabolomics59
- Immunology56
- Computational pharmacology54
- Pharmacoinformatics54
- Pharmacology54
- Comparative transcriptomics53
- Transcriptome53
- Transcriptomics53
- Data archival52
- Data archiving52
- Data curation52
- Data curation and archival52
- Data preservation52
- Database curation52
- Research data archiving52
- Biomathematics51
- Computational biology51
- Mathematical biology51
- Theoretical biology51
- FAIR data50
- Findable, accessible, interoperable, reusable data50
- Active learning46
- Ensembl learning46
- Kernel methods46
- Knowledge representation46
- Machine learning46
- Neural networks46
- Pipelines46
- Recommender system46
- Reinforcement learning46
- Software integration46
- Supervised learning46
- Tool integration46
- Tool interoperability46
- Unsupervised learning46
- Workflows46
- RNA-Seq analysis45
- Data visualisation39
- MicroRNA sequencing36
- RNA sequencing36
- RNA-Seq36
- Small RNA sequencing36
- Small RNA-Seq36
- Small-Seq36
- Transcriptome profiling36
- WTSS36
- Whole transcriptome shotgun sequencing36
- miRNA-seq36
- Metagenomics34
- Shotgun metagenomics34
- 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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