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- University of Cambridge Bioinformatics Training1
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Keyword
- HDRUK1
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Scientific topic
- Bioinformatics300
- Data rendering102
- Data visualisation102
- Aerobiology78
- Behavioural biology78
- Biological rhythms78
- Biological science78
- Biology78
- Chronobiology78
- Cryobiology78
- Reproductive biology78
- Data mining75
- Pattern recognition75
- Functional genomics34
- Comparative transcriptomics31
- Transcriptome31
- Transcriptomics31
- Active learning20
- Ensembl learning20
- Kernel methods20
- Knowledge representation20
- Machine learning20
- Neural networks20
- Recommender system20
- Reinforcement learning20
- Supervised learning20
- Unsupervised learning20
- Exomes16
- Genome annotation16
- Genomes16
- Genomics16
- Personal genomics16
- Synthetic genomics16
- Viral genomics16
- Whole genomes16
- Bioimaging14
- Biological imaging14
- Coding RNA12
- EST12
- Exons12
- Fusion genes12
- Fusion transcripts12
- Gene features12
- Gene structure12
- Gene transcript features12
- Gene transcripts12
- Introns12
- PolyA signal12
- PolyA site12
- Signal peptide coding sequence12
- Transit peptide coding sequence12
- cDNA12
- mRNA12
- mRNA features12
- ChIP-exo10
- ChIP-seq10
- ChIP-sequencing10
- Chip Seq10
- Chip sequencing10
- Chip-sequencing10
- Exometabolomics10
- LC-MS-based metabolomics10
- MS-based metabolomics10
- MS-based targeted metabolomics10
- MS-based untargeted metabolomics10
- Mass spectrometry-based metabolomics10
- Metabolites10
- Metabolome10
- Metabolomics10
- Metabonomics10
- NMR-based metabolomics10
- Python10
- Python program10
- Python script10
- py10
- Pipelines9
- Software integration9
- Tool integration9
- Tool interoperability9
- Workflows9
- DNA methylation8
- Epigenetics8
- Histone modification8
- Methylation profiles8
- Data management7
- Epigenomics7
- Metadata management7
- Phylogenetics5
- Algorithms4
- Codon usage4
- Computer programming4
- DNA chips4
- DNA microarrays4
- Data structures4
- De novo genome sequencing4
- Exome4
- Exome analysis4
- Exome capture4
- Exome sequencing4
- Expression4
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Event type
- Workshops and courses2
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Country
- United Kingdom2
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Target audience
- Graduate students1
- Institutions and other external Institutions or individuals1
- Postdocs and Staff members from the University of Cambridge1
- This course is intended for master and PhD students, post-docs and staff scientists familiar with different omics data technologies who are interested in applying machine learning to analyse these data. No prior knowledge of Machine Learning concepts and methods is expected nor required1
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Eligibility
- Registration of interest1
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