- Home
- Events
Filters
Sort
-
-
Filter Clear filters
-
-
Start
- -
-
-
-
Content provider
- European Bioinformatics Institute (EBI)7
- Show N_FILTERS more
-
-
-
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
- Show N_FILTERS more
-
-
-
Scientific topic
- Bioinformatics1099
- Genome annotation302
- Exomes299
- Genomes299
- Genomics299
- Personal genomics299
- Synthetic genomics299
- Viral genomics299
- Whole genomes299
- Biological modelling250
- Biological system modelling250
- Systems biology250
- Systems modelling250
- Biomedical research219
- Clinical medicine219
- Experimental medicine219
- General medicine219
- Internal medicine219
- Medicine219
- Data visualisation185
- Data rendering178
- Bottom-up proteomics152
- Discovery proteomics152
- MS-based targeted proteomics152
- MS-based untargeted proteomics152
- Metaproteomics152
- Peptide identification152
- Protein and peptide identification152
- Proteomics152
- Quantitative proteomics152
- Targeted proteomics152
- Top-down proteomics152
- Data management126
- Metadata management126
- Data mining113
- Pattern recognition113
- Aerobiology98
- Behavioural biology98
- Biological rhythms98
- Biological science98
- Biology98
- Chronobiology98
- Cryobiology98
- Reproductive biology98
- Comparative transcriptomics90
- Transcriptome90
- Transcriptomics90
- Exometabolomics75
- LC-MS-based metabolomics75
- MS-based metabolomics75
- MS-based targeted metabolomics75
- MS-based untargeted metabolomics75
- Mass spectrometry-based metabolomics75
- Metabolites75
- Metabolome75
- Metabolomics75
- Metabonomics75
- NMR-based metabolomics75
- Functional genomics65
- Immunology65
- Cloud computing60
- Computer science60
- HPC60
- High performance computing60
- High-performance computing60
- Computational pharmacology59
- Pharmacoinformatics59
- Pharmacology59
- Active learning50
- Ensembl learning50
- Kernel methods50
- Knowledge representation50
- Machine learning50
- Neural networks50
- Recommender system50
- Reinforcement learning50
- Supervised learning50
- Unsupervised learning50
- Biomathematics47
- Computational biology47
- Mathematical biology47
- Theoretical biology47
- Pipelines41
- RNA-Seq analysis41
- Software integration41
- Tool integration41
- Tool interoperability41
- Workflows41
- Data curation39
- Database curation39
- High-throughput sequencing36
- Research data management (RDM)36
- Chromosome walking35
- Clone verification35
- DNA-Seq35
- DNase-Seq35
- High throughput sequencing35
- NGS35
- NGS data analysis35
- Next gen sequencing35
- Show N_FILTERS more
-
-
-
Event type
- Workshops and courses7
- Show N_FILTERS more
-
-
-
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
- Show N_FILTERS more
-
- Only show online events
- Hide past events
- Show disabled events