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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
- Bioinformatics705
- Genome annotation300
- Exomes291
- Genomes291
- Genomics291
- Personal genomics291
- Synthetic genomics291
- Viral genomics291
- Whole genomes291
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- Biomedical research179
- Clinical medicine179
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- Internal medicine179
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- Data management156
- Metadata management156
- Research data management (RDM)156
- 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
- Cloud computing61
- Computer science61
- HPC61
- High performance computing61
- High-performance computing61
- Exometabolomics57
- LC-MS-based metabolomics57
- MS-based metabolomics57
- MS-based targeted metabolomics57
- MS-based untargeted metabolomics57
- Mass spectrometry-based metabolomics57
- Metabolites57
- Metabolome57
- Metabolomics57
- Metabonomics57
- NMR-based metabolomics57
- Immunology54
- Computational pharmacology53
- Pharmacoinformatics53
- Pharmacology53
- Comparative transcriptomics52
- Transcriptome52
- Transcriptomics52
- Biomathematics51
- Computational biology51
- Mathematical biology51
- Theoretical biology51
- FAIR data50
- Findable, accessible, interoperable, reusable data50
- Data archival48
- Data archiving48
- Data curation48
- Data curation and archival48
- Data preservation48
- Database curation48
- Research data archiving48
- Active learning46
- Ensembl learning46
- Kernel methods46
- Knowledge representation46
- Machine learning46
- Neural networks46
- Recommender system46
- Reinforcement learning46
- Supervised learning46
- Unsupervised learning46
- RNA-Seq analysis45
- Pipelines42
- Software integration42
- Tool integration42
- Tool interoperability42
- Workflows42
- Data visualisation39
- MicroRNA sequencing36
- RNA sequencing36
- RNA-Seq36
- Small RNA sequencing36
- Small RNA-Seq36
- Small-Seq36
- Transcriptome profiling36
- WTSS36
- Whole transcriptome shotgun sequencing36
- miRNA-seq36
- Metagenomics34
- Shotgun metagenomics34
- Data rendering32
- Antimicrobial stewardship30
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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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