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Content provider
- European Bioinformatics Institute (EBI)5
- GTN3
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Keyword
- Proteins (proteins)4
- InterPro3
- Electron Microscopy Public Image Archive - EMPIAR2
- InterProScan2
- Protein families2
- UniProt: The Universal Protein Resource2
- AlphaFold Database1
- Complex Portal1
- Electron Microscopy Data Bank1
- HMMER - protein homology search1
- IntAct Molecular Interaction Database1
- PDBeFold1
- Pfam1
- Protein Data Bank in Europe1
- Protein Data Bank in Europe - Knowledge Base1
- Protein classification1
- Protein function1
- Protein functional analysis1
- Reactome pathways database1
- Structures (structures)1
- amr1
- bacteria1
- beginner1
- genome annotation1
- microgalaxy1
- one-health1
- prokaryote1
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Scientific topic
- Bioinformatics1085
- Genome annotation289
- Exomes286
- Genomes286
- Genomics286
- Personal genomics286
- Synthetic genomics286
- Viral genomics286
- Whole genomes286
- Biological modelling229
- Biological system modelling229
- Systems biology229
- Systems modelling229
- Biomedical research188
- Clinical medicine188
- Experimental medicine188
- General medicine188
- Internal medicine188
- Medicine188
- Data visualisation184
- Data rendering177
- 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
- Chronobiology99
- 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 courses8
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Country
- United Kingdom1
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Target audience
- This course is aimed at anyone interested in finding out more about protein biology. No prior experience of bioinformatics is required, but participants should have an undergraduate level understanding of biology. For those who wish to attend the sessions on programmatic access, prior knowledge of coding/programming would be of benefit. For an introduction to the concept of web services and how you can use them to access the tools and data available programmatically, please watch this EMBL-EBI, programatically webinar.1
- This course is aimed at scientists generating structural data or scientists utilising structural data in their analysis and/or interpretation. No previous experience in the field of structural bioinformatics is required, however a basic knowledge of protein structure would be of benefit.1
- This workshop is aimed at researchers and bioinformaticians from across industry and academia who are looking to leverage machine learning approaches in protein function prediction. It will guide participants through the use of big data to build analytical workflows on publically-available biological data. Participants will require prior experience in the use of the command line interface and confidence in a programming language to fully benefit from the workshop. Please contact us if you have any questions about the course's suitability before you apply.1
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