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Keyword
- Biotherapeutics1
- HDRUK1
- IntAct Molecular Interaction Database1
- Mass spectrometry1
- Medicine1
- PRIDE: The Proteomics Identifications Database1
- Protein annotation1
- Protein function1
- Proteins (proteins)1
- Quantitative proteomics1
- Reactome pathways database1
- mass spectrometry1
- neurobiology1
- protein annotation1
- protein function1
- quantitative proteomics1
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Scientific topic
- Proteomics
- Bioinformatics395
- Data visualisation109
- Data rendering105
- Aerobiology79
- Behavioural biology79
- Biological rhythms79
- Biological science79
- Biology79
- Chronobiology79
- Cryobiology79
- Reproductive biology79
- Data mining75
- Pattern recognition75
- Genome annotation48
- Exomes47
- Genomes47
- Genomics47
- Personal genomics47
- Synthetic genomics47
- Viral genomics47
- Whole genomes47
- Comparative transcriptomics38
- Transcriptome38
- Transcriptomics38
- Functional genomics37
- Biological modelling29
- Biological system modelling29
- Systems biology29
- Systems modelling29
- Active learning24
- Biomedical research24
- Bottom-up proteomics24
- Clinical medicine24
- Discovery proteomics24
- Ensembl learning24
- Experimental medicine24
- General medicine24
- Internal medicine24
- Kernel methods24
- Knowledge representation24
- MS-based targeted proteomics24
- MS-based untargeted proteomics24
- Machine learning24
- Medicine24
- Metaproteomics24
- Neural networks24
- Peptide identification24
- Protein and peptide identification24
- Quantitative proteomics24
- Recommender system24
- Reinforcement learning24
- Supervised learning24
- Targeted proteomics24
- Top-down proteomics24
- Unsupervised learning24
- Exometabolomics23
- LC-MS-based metabolomics23
- MS-based metabolomics23
- MS-based targeted metabolomics23
- MS-based untargeted metabolomics23
- Mass spectrometry-based metabolomics23
- Metabolites23
- Metabolome23
- Metabolomics23
- Metabonomics23
- NMR-based metabolomics23
- Bioimaging14
- Biological imaging14
- Fusion genes13
- Gene features13
- Gene structure13
- Coding RNA12
- Computational pharmacology12
- EST12
- Exons12
- Fusion transcripts12
- Gene transcript features12
- Gene transcripts12
- Introns12
- Pharmacoinformatics12
- Pharmacology12
- PolyA signal12
- PolyA site12
- RNA-Seq analysis12
- Signal peptide coding sequence12
- Transit peptide coding sequence12
- cDNA12
- mRNA12
- mRNA features12
- Electrophysiology11
- Immunology11
- Physiology11
- Python11
- Python program11
- Python script11
- py11
- ChIP-exo10
- ChIP-seq10
- ChIP-sequencing10
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Target audience
- Graduate students1
- Institutions and other external Institutions or individuals1
- Postdocs and Staff members from the University of Cambridge1
- The course is targeted to either proteomics practitioners or data analysts/bioinformaticians that would like to learn how to use R to analyse proteomics data. Familiarity with mass spectrometry or proteomics in general is desirable1
- but not essential as we will walk through a MS typical experiment and data as part of learning about the tools.1
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