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- University of Cambridge Bioinformatics Training4
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Keyword
- HDRUK4
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Scientific topic
- Bioinformatics356
- Data rendering129
- Data visualisation129
- Data mining97
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- Aerobiology82
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- Biological science82
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- Functional genomics48
- Comparative transcriptomics45
- Transcriptome45
- Transcriptomics45
- Active learning23
- Ensembl learning23
- Exomes23
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- Genomics23
- Kernel methods23
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- Machine learning23
- Neural networks23
- Personal genomics23
- Recommender system23
- Reinforcement learning23
- Supervised learning23
- Synthetic genomics23
- Unsupervised learning23
- Viral genomics23
- Whole genomes23
- Biomedical research21
- Clinical medicine21
- Experimental medicine21
- General medicine21
- Internal medicine21
- Medicine21
- 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
- Bottom-up proteomics11
- Discovery proteomics11
- Epigenomics11
- MS-based targeted proteomics11
- MS-based untargeted proteomics11
- Metaproteomics11
- Peptide identification11
- Protein and peptide identification11
- Proteomics11
- Quantitative proteomics11
- Targeted proteomics11
- Top-down proteomics11
- 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
- Methylation profiles9
- NMR-based metabolomics9
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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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