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Content provider
- European Bioinformatics Institute (EBI)9
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Keyword
- Logic modelling4
- IntAct Molecular Interaction Database3
- BioModels database2
- Data integration2
- Deep learning2
- MOFA2
- Multi-Omics Factor Analysis2
- Network inference2
- Pathway enrichment analysis2
- Reactome Pathways Analysis2
- Spatial modelling2
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- Biological networks1
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- COBREXA1
- CellNOpt1
- Cross domain (cross-domain)1
- Cytoscape1
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- Data management1
- Genetic variation1
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- HPC1
- High Performance Computing1
- IMEx1
- Introduction to bioinformatics1
- MaBoSS1
- Modelling1
- PSICQUIC1
- PhysiBoSS1
- PhysiCell1
- Protein structures1
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Scientific topic
- Bioinformatics1085
- Genome annotation289
- Exomes286
- Genomes286
- Genomics286
- Personal genomics286
- Synthetic genomics286
- Viral genomics286
- Whole genomes286
- Biological modelling229
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- Biomedical research188
- Clinical medicine188
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- General medicine188
- Internal medicine188
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- 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
- Data management122
- Metadata management122
- Research data management (RDM)122
- Data mining113
- Pattern recognition113
- Aerobiology99
- Behavioural biology99
- Biological rhythms99
- Biological science99
- Biology99
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- Cryobiology99
- Reproductive biology99
- Comparative transcriptomics90
- Transcriptome90
- Transcriptomics90
- Exometabolomics68
- LC-MS-based metabolomics68
- MS-based metabolomics68
- MS-based targeted metabolomics68
- MS-based untargeted metabolomics68
- Mass spectrometry-based metabolomics68
- Metabolites68
- Metabolome68
- Metabolomics68
- Metabonomics68
- NMR-based metabolomics68
- Functional genomics65
- Cloud computing60
- Computer science60
- HPC60
- High performance computing60
- High-performance computing60
- Computational pharmacology57
- Pharmacoinformatics57
- Pharmacology57
- Active learning51
- Ensembl learning51
- Immunology51
- Kernel methods51
- Knowledge representation51
- Machine learning51
- Neural networks51
- Recommender system51
- Reinforcement learning51
- Supervised learning51
- Unsupervised learning51
- Biomathematics47
- Computational biology47
- Mathematical biology47
- Theoretical biology47
- Pipelines40
- RNA-Seq analysis40
- Software integration40
- Tool integration40
- Tool interoperability40
- Workflows40
- Data archival37
- Data archiving37
- Data curation37
- Data curation and archival37
- Data preservation37
- Database curation37
- Research data archiving37
- High-throughput sequencing35
- Chromosome walking34
- Clone verification34
- DNA-Seq34
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Event type
- Workshops and courses9
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Country
- United Kingdom3
- Spain1
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Target audience
- 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
- This course is aimed at individuals working across life sciences who have little or no experience in bioinformatics. Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their knowledge and skills further. No previous knowledge of programming is required for this course; group projects may give you the opportunity to learn basic programming, but participants will be supported in this by their mentors. Depending on your chosen project, an introductory programming tutorial may be given as homework prior to attending the course.1
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