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Content provider
- European Bioinformatics Institute (EBI)5
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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
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Scientific topic
- Bioinformatics50
- Genome annotation28
- Exomes25
- Genomes25
- Genomics25
- Personal genomics25
- Synthetic genomics25
- Viral genomics25
- Whole genomes25
- Protein bioinformatics24
- Protein databases24
- Protein informatics24
- Proteins24
- Biomathematics23
- Computational biology23
- Mathematical biology23
- Theoretical biology23
- Protein structure20
- Protein function analysis19
- Protein function prediction19
- Molecular diagnostics18
- Personalised medicine18
- Precision medicine18
- Protein structures18
- Biological modelling17
- Biological system modelling17
- Systems biology17
- Systems modelling17
- Metabolic network modelling16
- Metabolic network reconstruction16
- Metabolic network simulation16
- Metabolic pathway modelling16
- Metabolic pathway reconstruction16
- Metabolic pathway simulation16
- Metabolic reconstruction16
- Omics15
- RNA-Seq analysis15
- Biological models14
- Biological networks14
- Biological pathways14
- Cellular process pathways14
- Chromosome walking14
- Clone verification14
- Community analysis14
- DNA-Seq14
- DNase-Seq14
- Disease pathways14
- Environmental information processing pathways14
- Environmental microbiology14
- Function analysis14
- Functional analysis14
- Gene regulatory networks14
- Genetic information processing pathways14
- High throughput sequencing14
- High-throughput sequencing14
- Interactions14
- Interactome14
- Metabolic pathways14
- Metagenomics14
- Microbial ecology14
- Microbiome14
- Molecular community analysis14
- Molecular interactions14
- Molecular interactions, pathways and networks14
- NGS14
- NGS data analysis14
- Networks14
- Next gen sequencing14
- Next generation sequencing14
- Panels14
- Pathways14
- Primer walking14
- Sanger sequencing14
- Sequencing14
- Shotgun metagenomics14
- Signal transduction pathways14
- Signaling pathways14
- Targeted next-generation sequencing panels14
- Active learning13
- Comparative transcriptomics13
- Data archival13
- Data archiving13
- Data curation13
- Data curation and archival13
- Data preservation13
- Data visualisation13
- Database curation13
- Ensembl learning13
- Kernel methods13
- Knowledge representation13
- Machine learning13
- Neural networks13
- Recommender system13
- Reinforcement learning13
- Research data archiving13
- Supervised learning13
- Transcriptome13
- Transcriptomics13
- Unsupervised learning13
- Antimicrobial stewardship12
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Event type
- Workshops and courses5
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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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