- 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
- Bioinformatics705
- Genome annotation300
- Exomes291
- Genomes291
- Genomics291
- Personal genomics291
- Synthetic genomics291
- Viral genomics291
- Whole genomes291
- Biological modelling212
- Biological system modelling212
- Systems biology212
- Systems modelling212
- Biomedical research179
- Clinical medicine179
- Experimental medicine179
- General medicine179
- Internal medicine179
- Medicine179
- Data management156
- Metadata management156
- Research data management (RDM)156
- Bottom-up proteomics145
- Discovery proteomics145
- MS-based targeted proteomics145
- MS-based untargeted proteomics145
- Metaproteomics145
- Peptide identification145
- Protein and peptide identification145
- Proteomics145
- Quantitative proteomics145
- Targeted proteomics145
- Top-down proteomics145
- Cloud computing61
- Computer science61
- HPC61
- High performance computing61
- High-performance computing61
- Exometabolomics57
- LC-MS-based metabolomics57
- MS-based metabolomics57
- MS-based targeted metabolomics57
- MS-based untargeted metabolomics57
- Mass spectrometry-based metabolomics57
- Metabolites57
- Metabolome57
- Metabolomics57
- Metabonomics57
- NMR-based metabolomics57
- Immunology54
- Computational pharmacology53
- Pharmacoinformatics53
- Pharmacology53
- Comparative transcriptomics52
- Transcriptome52
- Transcriptomics52
- Biomathematics51
- Computational biology51
- Mathematical biology51
- Theoretical biology51
- FAIR data50
- Findable, accessible, interoperable, reusable data50
- Data archival48
- Data archiving48
- Data curation48
- Data curation and archival48
- Data preservation48
- Database curation48
- Research data archiving48
- Active learning46
- Ensembl learning46
- Kernel methods46
- Knowledge representation46
- Machine learning46
- Neural networks46
- Recommender system46
- Reinforcement learning46
- Supervised learning46
- Unsupervised learning46
- RNA-Seq analysis45
- Pipelines42
- Software integration42
- Tool integration42
- Tool interoperability42
- Workflows42
- 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