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Content provider
- European Bioinformatics Institute (EBI)9
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Keyword
- UniProt: The Universal Protein Resource5
- Proteins (proteins)4
- PRIDE: The Proteomics Identifications Database3
- IntAct Molecular Interaction Database2
- Reactome pathways database2
- BioImage Archive1
- COVID-191
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- Mass spectrometry1
- MetaboLights: Metabolomics repository and reference database1
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- Protein annotation1
- Protein families1
- Protein function1
- Protein functional analysis1
- Protein sequences1
- Quantitative proteomics1
- SARS-CoV-21
- UniProtKB1
- mass spectrometry1
- protein annotation1
- protein function1
- proteomics1
- quantitative proteomics1
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Scientific topic
- Bioinformatics50
- Genome annotation28
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- Protein bioinformatics24
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- Biological models14
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- Community analysis14
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- Disease pathways14
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- Gene regulatory networks14
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- 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
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- Transcriptome13
- Transcriptomics13
- Unsupervised learning13
- Antimicrobial stewardship12
- Medical microbiology12
- Microbial genetics12
- Microbial physiology12
- Microbial surveillance12
- Microbiological surveillance12
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Event type
- Workshops and courses9
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Country
- United Kingdom3
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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 quantify peptides and finally to obtain 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
- 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
- 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 peptides and finally to 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 once it has been generated.1
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