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Content provider
- University of Cambridge Bioinformatics Training82
- iAnn1
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Keyword
- HDRUK82
- Neurobiology1
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Scientific topic
- Biology
- Bioinformatics404
- Data rendering128
- Data visualisation128
- Data mining97
- Pattern recognition97
- Aerobiology83
- Behavioural biology83
- Biological rhythms83
- Biological science83
- Chronobiology83
- Cryobiology83
- Reproductive biology83
- Exomes54
- Genome annotation54
- Genomes54
- Genomics54
- Personal genomics54
- Synthetic genomics54
- Viral genomics54
- Whole genomes54
- Comparative transcriptomics50
- Transcriptome50
- Transcriptomics50
- Functional genomics48
- Biological modelling33
- Biological system modelling33
- Systems biology33
- Systems modelling33
- Active learning22
- Ensembl learning22
- Kernel methods22
- Knowledge representation22
- Machine learning22
- Neural networks22
- Recommender system22
- Reinforcement learning22
- Supervised learning22
- Unsupervised learning22
- Bottom-up proteomics17
- Discovery proteomics17
- MS-based targeted proteomics17
- MS-based untargeted proteomics17
- Metaproteomics17
- Peptide identification17
- Protein and peptide identification17
- Proteomics17
- Quantitative proteomics17
- Targeted proteomics17
- Top-down proteomics17
- Exometabolomics16
- LC-MS-based metabolomics16
- MS-based metabolomics16
- MS-based targeted metabolomics16
- MS-based untargeted metabolomics16
- Mass spectrometry-based metabolomics16
- Metabolites16
- Metabolome16
- Metabolomics16
- Metabonomics16
- NMR-based metabolomics16
- Bioimaging14
- Biological imaging14
- Coding RNA14
- EST14
- Exons14
- Fusion genes14
- Fusion transcripts14
- Gene features14
- Gene structure14
- Gene transcript features14
- Gene transcripts14
- Introns14
- PolyA signal14
- PolyA site14
- Python14
- Python program14
- Python script14
- Signal peptide coding sequence14
- Transit peptide coding sequence14
- cDNA14
- mRNA14
- mRNA features14
- py14
- Data management13
- Metadata management13
- ChIP-exo12
- ChIP-seq12
- ChIP-sequencing12
- Chip Seq12
- Chip sequencing12
- Chip-sequencing12
- Cloud computing12
- Computer science12
- HPC12
- High performance computing12
- High-performance computing12
- Epigenomics11
- Biomedical research10
- Clinical medicine10
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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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