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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
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- Artificial intelligence1
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- 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
- Bioinformatics352
- Data rendering147
- Data visualisation147
- Data mining110
- Pattern recognition110
- Aerobiology86
- Behavioural biology86
- Biological rhythms86
- Biological science86
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- Functional genomics55
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- Active learning22
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- Python19
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- Coding RNA15
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- Gene features15
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- Gene transcript features15
- Gene transcripts15
- Genome annotation15
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- PolyA signal15
- PolyA site15
- Signal peptide coding sequence15
- Synthetic genomics15
- Transit peptide coding sequence15
- Viral genomics15
- Whole genomes15
- cDNA15
- mRNA15
- mRNA features15
- Bioimaging14
- Biological imaging14
- Phylogenetics14
- ChIP-exo12
- ChIP-seq12
- ChIP-sequencing12
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- Chip sequencing12
- Chip-sequencing12
- DNA methylation9
- Epigenetics9
- Histone modification9
- Methylation profiles9
- Epigenomics8
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- MS-based metabolomics7
- MS-based targeted metabolomics7
- MS-based untargeted metabolomics7
- Mass spectrometry-based metabolomics7
- Metabolites7
- Metabolome7
- Metabolomics7
- Metabonomics7
- NMR-based metabolomics7
- Bottom-up proteomics5
- Discovery proteomics5
- MS-based targeted proteomics5
- MS-based untargeted proteomics5
- Metaproteomics5
- Peptide identification5
- Protein and peptide identification5
- Protein structure5
- Protein structure analysis5
- Protein tertiary structure5
- Proteomics5
- Quantitative proteomics5
- Targeted proteomics5
- Top-down proteomics5
- AMR4
- Antibiotic resistance (ABR)4
- Antifungal resistance4
- Antimicrobial resistance4
- Antiprotozoal resistance4
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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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