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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
- Bioinformatics734
- Genome annotation320
- Exomes311
- Genomes311
- Genomics311
- Personal genomics311
- Synthetic genomics311
- Viral genomics311
- Whole genomes311
- Biological modelling218
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- Biomedical research185
- Clinical medicine185
- Experimental medicine185
- General medicine185
- Internal medicine185
- Medicine185
- Data management158
- Metadata management158
- Research data management (RDM)158
- Bottom-up proteomics151
- Discovery proteomics151
- MS-based targeted proteomics151
- MS-based untargeted proteomics151
- Metaproteomics151
- Peptide identification151
- Protein and peptide identification151
- Proteomics151
- Quantitative proteomics151
- Targeted proteomics151
- Top-down proteomics151
- Cloud computing63
- Computer science63
- HPC63
- High performance computing63
- High-performance computing63
- Exometabolomics58
- LC-MS-based metabolomics58
- MS-based metabolomics58
- MS-based targeted metabolomics58
- MS-based untargeted metabolomics58
- Mass spectrometry-based metabolomics58
- Metabolites58
- Metabolome58
- Metabolomics58
- Metabonomics58
- NMR-based metabolomics58
- Immunology56
- Computational pharmacology54
- Pharmacoinformatics54
- Pharmacology54
- Data archival52
- Data archiving52
- Data curation52
- Data curation and archival52
- Data preservation52
- Database curation52
- Research data archiving52
- Biomathematics51
- Comparative transcriptomics51
- Computational biology51
- FAIR data51
- Findable, accessible, interoperable, reusable data51
- Mathematical biology51
- Theoretical biology51
- Transcriptome51
- Transcriptomics51
- 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 visualisation41
- Data rendering34
- 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
- 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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