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- University of Cambridge Bioinformatics Training4
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Keyword
- HDRUK4
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Scientific topic
- Bioinformatics369
- Data rendering133
- Data visualisation133
- Data mining97
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- Aerobiology82
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- Biology82
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- Functional genomics48
- Comparative transcriptomics44
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- Transcriptomics44
- Active learning22
- Ensembl learning22
- Kernel methods22
- Knowledge representation22
- Machine learning22
- Neural networks22
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- Reinforcement learning22
- Supervised learning22
- Unsupervised learning22
- Data management19
- Metadata management19
- Exomes17
- Genome annotation17
- Genomes17
- Genomics17
- Personal genomics17
- Synthetic genomics17
- Viral genomics17
- Whole genomes17
- Biomedical research15
- Bottom-up proteomics15
- Clinical medicine15
- Discovery proteomics15
- Experimental medicine15
- General medicine15
- Internal medicine15
- MS-based targeted proteomics15
- MS-based untargeted proteomics15
- Medicine15
- 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
- Epigenomics11
- Phylogenetics10
- Biological modelling9
- Biological system modelling9
- 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
- Metabolomics9
- Metabonomics9
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Event type
- Workshops and courses4
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- United Kingdom4
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Organizer
- University of Cambridge4
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Target audience
- Graduate students4
- Institutions and other external Institutions or...4
- Postdocs and Staff members from the University ...4
- pathways and diseases.2
- <span style="color:#FF0000">There is no fee cha...1
- This course is suitable for all users who have ...1
- This course is suitable for all users who have ...1
- This course is suitable for anyone who has an i...1
- This course is suitable for anyone who has an i...1
- cellular models of disease and computational te...1
- computational and statistical techniques are us...1
- early stages of drug discovery. It is also usef...1
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