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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
- Bioinformatics741
- Genome annotation321
- Exomes312
- Genomes312
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- Personal genomics312
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- Viral genomics312
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- Data management157
- Metadata management157
- Research data management (RDM)157
- Bottom-up proteomics152
- Discovery proteomics152
- MS-based targeted proteomics152
- MS-based untargeted proteomics152
- Metaproteomics152
- Peptide identification152
- Protein and peptide identification152
- Proteomics152
- Quantitative proteomics152
- Targeted proteomics152
- Top-down proteomics152
- Cloud computing62
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- High-performance computing62
- Exometabolomics58
- LC-MS-based metabolomics58
- MS-based metabolomics58
- MS-based targeted metabolomics58
- MS-based untargeted metabolomics58
- Mass spectrometry-based metabolomics58
- Metabolites58
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- Metabonomics58
- NMR-based metabolomics58
- Immunology56
- Computational pharmacology54
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- Pharmacology54
- Comparative transcriptomics51
- Data archival51
- Data archiving51
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- Data curation and archival51
- Data preservation51
- Database curation51
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- Transcriptome51
- Transcriptomics51
- Biomathematics50
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- FAIR data50
- Findable, accessible, interoperable, reusable data50
- Mathematical biology50
- Theoretical biology50
- Pipelines46
- Software integration46
- Tool integration46
- Tool interoperability46
- Workflows46
- Active learning45
- Ensembl learning45
- Kernel methods45
- Knowledge representation45
- Machine learning45
- Neural networks45
- Recommender system45
- Reinforcement learning45
- Supervised learning45
- Unsupervised learning45
- RNA-Seq analysis43
- Data visualisation39
- Metagenomics34
- MicroRNA sequencing34
- RNA sequencing34
- RNA-Seq34
- Shotgun metagenomics34
- Small RNA sequencing34
- Small RNA-Seq34
- Small-Seq34
- Transcriptome profiling34
- WTSS34
- Whole transcriptome shotgun sequencing34
- miRNA-seq34
- Data rendering32
- High-throughput sequencing31
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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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Instructor
- Deepti Jaiswal Kundu3
- Ananth Prakash Surappa-Narayanappa2
- Eliot Ragueneau2
- Juan Antonio Vizcaino2
- Jyoti Choudhary2
- Kalpana Panneerselvam2
- Kathryn Lilley2
- Krishna Kumar Tiwari2
- Lennart Martens2
- Lieven Clement2
- Shengbo Wang2
- Yasset Perez-Riverol2
- Andy Jones1
- Carlo de Nart1
- Daniela Ferretti1
- James Wright1
- Juan Jose Medina Reyes1
- Kerry Ramsbottom1
- Lisa Breckels1
- Pedro Beltrao1
- Pelagia Kyriakidou1
- Peli Kyriakidou1
- Sreejan Bandyopadhyay1
- Tine Clays1
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