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Content provider
- European Bioinformatics Institute (EBI)1
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Keyword
- Protein function
- PRIDE: The Proteomics Identifications Database2
- Proteins (proteins)2
- IntAct Molecular Interaction Database1
- Mass spectrometry1
- Protein annotation1
- Quantitative proteomics1
- Reactome pathways database1
- mass spectrometry1
- protein annotation1
- protein function1
- quantitative proteomics1
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Scientific topic
- DIA
- Amino acid sequence2
- Amino acid sequences2
- Protein bioinformatics2
- Protein databases2
- Protein domain2
- Protein informatics2
- Protein sequence2
- Protein sequences2
- Proteins2
- 2D PAGE experiment1
- Bottom-up proteomics1
- DNA structure prediction1
- Data-independent acquisition1
- Discovery proteomics1
- Function analysis1
- Functional analysis1
- Gene and protein families1
- Gene families1
- Gene family1
- Gene system1
- Genes, gene family or system1
- MS1
- MS experiments1
- MS-based targeted proteomics1
- MS-based untargeted proteomics1
- Mass spectrometry1
- Mass spectrometry experiments1
- Metaproteomics1
- Northern blot experiment1
- Nucleic acid design1
- Nucleic acid folding1
- Nucleic acid structure prediction1
- Peptide identification1
- Protein and peptide identification1
- Protein families1
- Protein fold recognition1
- Protein function analysis1
- Protein function prediction1
- Protein sequence classification1
- Protein structure prediction1
- Proteomics1
- Proteomics experiment1
- Quantitative proteomics1
- RNA structure prediction1
- Spectrum demultiplexing1
- Structure analysis1
- Structure prediction1
- Targeted proteomics1
- Top-down proteomics1
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Event type
- Workshops and courses1
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Country
- United Kingdom1
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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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Instructor
- Ananth Prakash Surappa-Narayanappa1
- Daniela Ferretti1
- Deepti Jaiswal Kundu1
- Eliot Ragueneau1
- James Wright1
- Juan Antonio Vizcaino1
- Jyoti Choudhary1
- Kalpana Panneerselvam1
- Kathryn Lilley1
- Krishna Kumar Tiwari1
- Lennart Martens1
- Lieven Clement1
- Pedro Beltrao1
- Peli Kyriakidou1
- Shengbo Wang1
- Tine Clays1
- Yasset Perez-Riverol1
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