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- University of Cambridge Bioinformatics Training4
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Keyword
- HDRUK
- European Genome-phenome Archive3
- Human ecosystems2
- IMPC2
- International Mouse Phenotyping Consortium Portal2
- NHGRI-EBI GWAS Catalog2
- environmental readouts2
- ethics2
- genes and environment interactions2
- human phenotypes2
- Artificial intelligence1
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- DUO1
- Data Use Ontology1
- EGA1
- Ensembl1
- Epigenomics1
- Gene expression (gene-expression)1
- Gene function1
- Gene-disease association1
- Genome Mapping1
- Genome Structure 1
- Homology and variation1
- Mammalian Phenotype Ontology1
- Metagenomics1
- Mouse genome1
- Mouse knockouts1
- Mouse models1
- Mouse phenotyping1
- Mouse strains1
- Pangenomes1
- Pangenomics1
- Phenotype1
- Plant webinar series1
- Population Scale 1
- Sequencing1
- Single Cell Sequencing1
- Spatial transcriptomics1
- clinical sequencing1
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Scientific topic
- Genotyping
- Bioinformatics284
- Data rendering102
- Data visualisation102
- Aerobiology78
- Behavioural biology78
- Biological rhythms78
- Biological science78
- Biology78
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- Reproductive biology78
- Data mining75
- Pattern recognition75
- Functional genomics34
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- Transcriptomics31
- Active learning19
- Ensembl learning19
- Kernel methods19
- Knowledge representation19
- Machine learning19
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- Recommender system19
- Reinforcement learning19
- Supervised learning19
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- Bioimaging14
- Biological imaging14
- Coding RNA12
- EST12
- Exomes12
- Exons12
- Fusion genes12
- Fusion transcripts12
- Gene features12
- Gene structure12
- Gene transcript features12
- Gene transcripts12
- Genome annotation12
- Genomes12
- Genomics12
- Introns12
- Personal genomics12
- PolyA signal12
- PolyA site12
- Signal peptide coding sequence12
- Synthetic genomics12
- Transit peptide coding sequence12
- Viral genomics12
- Whole genomes12
- cDNA12
- mRNA12
- mRNA features12
- ChIP-exo10
- ChIP-seq10
- ChIP-sequencing10
- Chip Seq10
- Chip sequencing10
- Chip-sequencing10
- Python10
- Python program10
- Python script10
- py10
- DNA methylation8
- Epigenetics8
- Histone modification8
- Methylation profiles8
- Epigenomics7
- Phylogenetics5
- Codon usage4
- DNA chips4
- DNA microarrays4
- Data management4
- Exometabolomics4
- Expression4
- Gene expression4
- Gene expression profiling4
- Gene transcription4
- Gene translation4
- Genotype4
- Genotype and phenotype4
- Genotype and phenotype resources4
- Genotype-phenotype4
- Genotype-phenotype analysis4
- LC-MS-based metabolomics4
- MS-based metabolomics4
- MS-based targeted metabolomics4
- MS-based untargeted metabolomics4
- Mass spectrometry-based metabolomics4
- Metabolites4
- Metabolome4
- Metabolomics4
- Metabonomics4
- Metadata management4
- NMR-based metabolomics4
- Phenotype4
- Phenotyping4
- Protein structure4
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Event type
- Workshops and courses4
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Country
- United Kingdom4
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Organizer
- University of Cambridge4
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Target audience
- Graduate students4
- Institutions and other external Institutions or individuals4
- Postdocs and Staff members from the University of Cambridge4
- pathways and diseases.2
- <span style="color:#FF0000">There is no fee charged for this event''<span style="color:#FF0000">1
- This course is suitable for all users who have an interest in Clinical Genetics with a special emphasis on rare disorders. It is also pertinent to those who seek to develop a better understanding of the role of accurate phenotyping in aiding the interpretation of filtered variants in patients and understanding genotype-phenotype correlations.1
- This course is suitable for all users who have an interest in biomedical research and therapeutics. A special emphasis will be given on drug discovery and target validation. It will also be useful to those who seek for practical examples on how large-scale genomic experiments and computational techniques are integrated and visualised in a web platform.1
- This course is suitable for anyone who has an interest in biomedical and therapeutic research with a special emphasis on target identification and prioritisation1
- This course is suitable for anyone who has an interest in biomedical research and therapeutics with a special emphasis on drug discovery and target validation. It is also useful to those who wish to find out how large-scale genomic experiments1
- cellular models of disease and computational techniques are used to identify and validate the causal links between targets1
- computational and statistical techniques are used to identify and validate the causal links between targets1
- early stages of drug discovery. It is also useful to those who wish to find out how large-scale genomic experiments1
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