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Content provider
- University of Cambridge Bioinformatics Training22
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Keyword
- HDRUK22
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Scientific topic
- Neural networks
- Bioinformatics354
- Data rendering128
- Data visualisation128
- Data mining97
- Pattern recognition97
- Aerobiology82
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- Biological science82
- Biology82
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- Functional genomics48
- Comparative transcriptomics45
- Transcriptome45
- Transcriptomics45
- Biomedical research30
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- General medicine30
- Genome annotation30
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- Internal medicine30
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- Viral genomics30
- Whole genomes30
- Active learning22
- Ensembl learning22
- Kernel methods22
- Knowledge representation22
- Machine learning22
- Recommender system22
- Reinforcement learning22
- Supervised learning22
- Unsupervised learning22
- Bottom-up proteomics15
- Discovery proteomics15
- MS-based targeted proteomics15
- MS-based untargeted proteomics15
- Metaproteomics15
- Peptide identification15
- Protein and peptide identification15
- Proteomics15
- Quantitative proteomics15
- Targeted proteomics15
- Top-down proteomics15
- 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
- ChIP-exo12
- ChIP-seq12
- ChIP-sequencing12
- Chip Seq12
- Chip sequencing12
- Chip-sequencing12
- Biological modelling11
- Biological system modelling11
- Epigenomics11
- Systems biology11
- Systems modelling11
- Immunology10
- Phylogenetics10
- Computational pharmacology9
- DNA methylation9
- Epigenetics9
- Exometabolomics9
- Histone modification9
- LC-MS-based metabolomics9
- MS-based metabolomics9
- MS-based targeted metabolomics9
- MS-based untargeted metabolomics9
- Mass spectrometry-based metabolomics9
- Metabolites9
- Metabolome9
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Event type
- Workshops and courses22
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Country
- United Kingdom22
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Organizer
- University of Cambridge22
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Target audience
- Institutions and other external Institutions or...22
- Postdocs and Staff members from the University ...22
- Graduate students20
- This is aimed at life scientists with little or...16
- This introductory course is aimed at biologists...3
- <span style="color:#FF0000">After you have book...2
- Students and researchers from life-sciences or ...2
- The course is open to Graduate students2
- if you are unable to attend any of the live ses...2
- including for registered university students.<s...2
- or will shortly have2
- please email the Team as Attendance will be tak...2
- the need to apply the techniques presented duri...2
- who have2
- <span style="color:#FF0000">Please note that al...1
- <span style="color:#FF0000">Please note that al...1
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