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Content provider
- European Bioinformatics Institute (EBI)7
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Keyword
- BioModels database2
- IntAct Molecular Interaction Database2
- Logic modelling2
- Pathway enrichment analysis2
- Reactome Pathways Analysis2
- Spatial modelling2
- Systems (systems)2
- COBREXA1
- CellNOpt1
- Data integration1
- Data protection1
- GPU1
- HPC1
- High Performance Computing1
- MaBoSS1
- Mathematical modelling1
- PhysiBoSS1
- PhysiCell1
- Plant webinar series1
- plant science1
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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 management156
- Metadata management156
- Research data management (RDM)156
- 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
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Event type
- Workshops and courses7
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Target audience
- Participants from both experimental and theoretical backgrounds would benefit from this workshop.1
- The workshop is open to postdocs in Cambridge, including candidates from University and affiliated institutions1
- This course is aimed at experimental biologists, bioinformaticians and mathematicians who have just started in systems biology, are familiar with the basic terminology in this field and who are now keen on gaining a better knowledge of systems biology modelling approaches to understand biological and biomedical problems. A working knowledge of the Linux operating system and ability to use the command line or experience of using a programming language (e.g Python) would be a benefit but is not mandatory. An undergraduate knowledge of molecular and cellular biology or some background in mathematics is highly beneficial. 1
- This course is aimed at experimental biologists, bioinformaticians and mathematicians who have just started in systems biology, are familiar with the basic terminology in this field and who are now keen on gaining a better knowledge of systems biology modelling approaches to understand biological and biomedical problems. An experience of using a programming language (e.g Python, R, Matlab) would be a benefit but is not mandatory. An undergraduate knowledge of molecular and cellular biology or some background in mathematics is highly beneficial. 1
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Instructor
- Rahuman Sheriff4
- Alexandra Holinski2
- Krishna Kumar Tiwari2
- Lutz Brusch2
- Thawfeek Mohamed Varusai2
- Tomas Helikar2
- Alfonso Martinez Arias1
- Alfonso Martinez-Arias1
- Andreas Dräger1
- Arnau Montagud1
- Birgit Meldal1
- Carmen Pin1
- Davide Cirillo1
- Dayane Rodrigues Araujo1
- Diego Jahn1
- Dénes Türei1
- Eliot Rageneau1
- Elisa Passini1
- Eva Geissen1
- Gaurhari Dass1
- Henning Hermjakob1
- Henrik Nortamo1
- James Yates1
- Javier Conejero1
- Joaquín Dopazo1
- John Fozard1
- Jörn Starruß1
- Kalpana Panneerselvam1
- Kausthubh Ramachandran1
- Marco Ruscone1
- Miguel Ponce de León1
- Pablo Porras Millan1
- Pablo Rodríguez Mier1
- Rea Antoniou-Kourounioti1
- Rea Laila Antoniou-Kourounioti1
- Robert Mueller1
- Sara-Jane Dunn1
- Thalia Diniaco1
- Thawfeek Varusai1
- Ugis Sarkans1
- Vincent Noël1
- Åsmund Flobak1
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