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Content provider
- University of Cambridge Bioinformatics Training3
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Keyword
- HDRUK3
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Scientific topic
- Bioinformatics1026
- Genome annotation287
- Exomes284
- Genomes284
- Genomics284
- Personal genomics284
- Synthetic genomics284
- Viral genomics284
- Whole genomes284
- Biological modelling236
- Biological system modelling236
- Systems biology236
- Systems modelling236
- Biomedical research194
- Clinical medicine194
- Experimental medicine194
- General medicine194
- Internal medicine194
- Medicine194
- Bottom-up proteomics144
- Discovery proteomics144
- MS-based targeted proteomics144
- MS-based untargeted proteomics144
- Metaproteomics144
- Peptide identification144
- Protein and peptide identification144
- Proteomics144
- Quantitative proteomics144
- Targeted proteomics144
- Top-down proteomics144
- Data visualisation133
- Data rendering126
- Data management93
- Metadata management93
- Research data management (RDM)93
- Aerobiology89
- Behavioural biology89
- Biological rhythms89
- Biological science89
- Biology89
- Chronobiology89
- Cryobiology89
- Reproductive biology89
- Data mining78
- Pattern recognition78
- Comparative transcriptomics68
- Transcriptome68
- Transcriptomics68
- Exometabolomics67
- LC-MS-based metabolomics67
- MS-based metabolomics67
- MS-based targeted metabolomics67
- MS-based untargeted metabolomics67
- Mass spectrometry-based metabolomics67
- Metabolites67
- Metabolome67
- Metabolomics67
- Metabonomics67
- NMR-based metabolomics67
- Computational pharmacology61
- Pharmacoinformatics61
- Pharmacology61
- Cloud computing59
- Computer science59
- HPC59
- High performance computing59
- High-performance computing59
- Biomathematics52
- Computational biology52
- Immunology52
- Mathematical biology52
- Theoretical biology52
- Active learning46
- Ensembl learning46
- Kernel methods46
- Knowledge representation46
- Machine learning46
- Neural networks46
- Recommender system46
- Reinforcement learning46
- Supervised learning46
- Unsupervised learning46
- Functional genomics44
- RNA-Seq analysis33
- Epigenomics31
- Disease29
- Metagenomics29
- Pathology29
- Shotgun metagenomics29
- High-throughput sequencing28
- Pipelines28
- Protein databases28
- Software integration28
- Tool integration28
- Tool interoperability28
- Workflows28
- Chromosome walking27
- Clone verification27
- DNA-Seq27
- DNase-Seq27
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Event type
- Workshops and courses3
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Country
- United Kingdom3
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Target audience
- Graduate students3
- Institutions and other external Institutions or individuals3
- Postdocs and Staff members from the University of Cambridge3
- 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 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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