- 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
- Bioinformatics736
- Genome annotation322
- Exomes313
- Genomes313
- Genomics313
- Personal genomics313
- Synthetic genomics313
- Viral genomics313
- Whole genomes313
- Biological modelling218
- Biological system modelling218
- Systems biology218
- Systems modelling218
- Biomedical research192
- Clinical medicine192
- Experimental medicine192
- General medicine192
- Internal medicine192
- Medicine192
- 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 computing59
- Computer science59
- HPC59
- High performance computing59
- High-performance computing59
- 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
- Immunology57
- Computational pharmacology55
- Pharmacoinformatics55
- Pharmacology55
- 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
- Pipelines46
- Software integration46
- Tool integration46
- Tool interoperability46
- Workflows46
- Active learning45
- Ensembl learning45
- Kernel methods45
- Knowledge representation45
- Machine learning45
- Neural networks45
- RNA-Seq analysis45
- Recommender system45
- Reinforcement learning45
- Supervised learning45
- Unsupervised learning45
- 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
- High-throughput sequencing31
- 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