- Home
- Events
Filter
Sort
-
-
Filter Clear filters
-
-
Start
- -
-
-
-
Content provider
- European Bioinformatics Institute (EBI)7
- VIB Conferences1
- Show N_FILTERS more
-
-
-
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
- Show N_FILTERS more
-
-
-
Scientific topic
- Bioinformatics709
- Genome annotation318
- Exomes309
- Genomes309
- Genomics309
- Personal genomics309
- Synthetic genomics309
- Viral genomics309
- Whole genomes309
- Biological modelling220
- Biological system modelling220
- Systems biology220
- Systems modelling220
- Biomedical research189
- Clinical medicine189
- Experimental medicine189
- General medicine189
- Internal medicine189
- Medicine189
- Data management155
- Metadata management155
- Research data management (RDM)155
- Bottom-up proteomics154
- Discovery proteomics154
- MS-based targeted proteomics154
- MS-based untargeted proteomics154
- Metaproteomics154
- Peptide identification154
- Protein and peptide identification154
- Proteomics154
- Quantitative proteomics154
- Targeted proteomics154
- Top-down proteomics154
- Cloud computing61
- Computer science61
- HPC61
- High performance computing61
- High-performance computing61
- Exometabolomics60
- LC-MS-based metabolomics60
- MS-based metabolomics60
- MS-based targeted metabolomics60
- MS-based untargeted metabolomics60
- Mass spectrometry-based metabolomics60
- Metabolites60
- Metabolome60
- Metabolomics60
- Metabonomics60
- NMR-based metabolomics60
- 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 data48
- Findable, accessible, interoperable, reusable data48
- 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
- Show N_FILTERS more
-
-
-
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
- Show N_FILTERS more
-
-
-
Eligibility
- First come first served3
- Show N_FILTERS more
-
-
-
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
- Show N_FILTERS more
-
- Only show online events
- Show events from all spaces
- Hide past events
- Show disabled events
- Show events with broken links