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Content provider
- European Bioinformatics Institute (EBI)4
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Keyword
- PRIDE: The Proteomics Identifications Database2
- Proteins (proteins)2
- IntAct Molecular Interaction Database1
- Mass spectrometry1
- Protein annotation1
- Protein function1
- Quantitative proteomics1
- Reactome pathways database1
- mass spectrometry1
- protein annotation1
- protein function1
- quantitative proteomics1
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Scientific topic
- Bioinformatics1085
- Genome annotation288
- Exomes285
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- Biomedical research188
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- General medicine188
- Internal medicine188
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- Data visualisation184
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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 management123
- Metadata management123
- Research data management (RDM)123
- Data mining113
- Pattern recognition113
- Aerobiology99
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- Biological science99
- Biology99
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- Exometabolomics67
- LC-MS-based metabolomics67
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- MS-based targeted metabolomics67
- MS-based untargeted metabolomics67
- Mass spectrometry-based metabolomics67
- Metabolites67
- Metabolome67
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- Metabonomics67
- NMR-based metabolomics67
- Functional genomics65
- Cloud computing60
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- Active learning50
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- Kernel methods50
- Knowledge representation50
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- Neural networks50
- Recommender system50
- Reinforcement learning50
- Supervised learning50
- Unsupervised learning50
- 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 courses4
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Country
- United Kingdom2
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Target audience
- The course is aimed at research scientists with a minimum of a degree in a biological discipline, including laboratory and clinical staff, as well as specialists in related fields. The practical elements of the course will take raw data from a proteomics experiment and analyse it. Participants will be able to go from MS spectra to identifying and quantifying peptides, and finally to obtaining lists of protein identifiers that can be analysed further using a wide range of resources. The final aim is to provide attendees with the practical bioinformatics knowledge they need to go back to the lab and process their own data when collected.1
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