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Content provider
- University of Cambridge Bioinformatics Training82
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Keyword
- HDRUK82
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Scientific topic
- Biology
- Bioinformatics431
- Data rendering133
- Data visualisation133
- Data mining98
- Pattern recognition98
- Aerobiology82
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- Biological science82
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- Biomedical research50
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- Internal medicine50
- Medicine50
- Comparative transcriptomics48
- Functional genomics48
- Transcriptome48
- Transcriptomics48
- Exomes38
- Genome annotation38
- Genomes38
- Genomics38
- Personal genomics38
- Synthetic genomics38
- Viral genomics38
- Whole genomes38
- Bottom-up proteomics30
- Discovery proteomics30
- MS-based targeted proteomics30
- MS-based untargeted proteomics30
- Metaproteomics30
- Peptide identification30
- Protein and peptide identification30
- Proteomics30
- Quantitative proteomics30
- Targeted proteomics30
- Top-down proteomics30
- Biological modelling27
- Biological system modelling27
- Systems biology27
- Systems modelling27
- Active learning22
- Ensembl learning22
- Kernel methods22
- Knowledge representation22
- Machine learning22
- Neural networks22
- Recommender system22
- Reinforcement learning22
- Supervised learning22
- Unsupervised learning22
- Bioimaging14
- Biological imaging14
- Coding RNA14
- EST14
- Exons14
- Fusion genes14
- Fusion transcripts14
- Gene features14
- Gene structure14
- Gene transcript features14
- Gene transcripts14
- Immunology14
- Introns14
- PolyA signal14
- PolyA site14
- Python14
- Python program14
- Python script14
- Signal peptide coding sequence14
- Transit peptide coding sequence14
- cDNA14
- mRNA14
- mRNA features14
- py14
- ChIP-exo12
- ChIP-seq12
- ChIP-sequencing12
- Chip Seq12
- Chip sequencing12
- Chip-sequencing12
- Computational pharmacology12
- Epigenomics12
- Pharmacoinformatics12
- Pharmacology12
- Exometabolomics11
- LC-MS-based metabolomics11
- MS-based metabolomics11
- MS-based targeted metabolomics11
- MS-based untargeted metabolomics11
- Mass spectrometry-based metabolomics11
- Metabolites11
- Metabolome11
- Metabolomics11
- Metabonomics11
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Event type
- Workshops and courses82
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Country
- United Kingdom82
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Organizer
- University of Cambridge82
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Target audience
- Graduate students80
- Institutions and other external Institutions or...80
- Postdocs and Staff members from the University ...80
- Existing R users who are not familiar with dply...8
- Those with programming experience in other lang...8
- but not essential as we will walk through a MS ...3
- Familiarity with mass spectrometry or proteomic...2
- The course is targeted to either proteomics pra...2
- The course is targeted to either proteomics pra...1
- The tutorial will be at an introductory level1
- The tutorial will be of interest to computation...1
- This is aimed for life scientists with little o...1
- but will also describe current research directi...1
- produce or analyse large structured datasets.1
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Eligibility
- First come first served4
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