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- University of Cambridge Bioinformatics Training3
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Keyword
- HDRUK3
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Scientific topic
- Bioinformatics1156
- Genome annotation369
- Exomes366
- Genomes366
- Genomics366
- Personal genomics366
- Synthetic genomics366
- Viral genomics366
- Whole genomes366
- Biological modelling304
- Biological system modelling304
- Systems biology304
- Systems modelling304
- Biomedical research258
- Clinical medicine258
- Experimental medicine258
- General medicine258
- Internal medicine258
- Medicine258
- Bottom-up proteomics169
- Discovery proteomics169
- MS-based targeted proteomics169
- MS-based untargeted proteomics169
- Metaproteomics169
- Peptide identification169
- Protein and peptide identification169
- Proteomics169
- Quantitative proteomics169
- Targeted proteomics169
- Top-down proteomics169
- Data visualisation135
- Data rendering128
- Exometabolomics95
- LC-MS-based metabolomics95
- MS-based metabolomics95
- MS-based targeted metabolomics95
- MS-based untargeted metabolomics95
- Mass spectrometry-based metabolomics95
- Metabolites95
- Metabolome95
- Metabolomics95
- Metabonomics95
- NMR-based metabolomics95
- Data management94
- Metadata management94
- Aerobiology90
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- Biological rhythms90
- Biological science90
- Biology90
- Chronobiology90
- Cryobiology90
- Reproductive biology90
- Computational pharmacology84
- Immunology84
- Pharmacoinformatics84
- Pharmacology84
- Data mining79
- Pattern recognition79
- Comparative transcriptomics70
- Transcriptome70
- Transcriptomics70
- Cloud computing61
- Computer science61
- HPC61
- High performance computing61
- High-performance computing61
- Functional genomics44
- Biomathematics43
- Computational biology43
- Mathematical biology43
- Theoretical biology43
- Epigenomics42
- Disease41
- Pathology41
- Active learning40
- Ensembl learning40
- Kernel methods40
- Knowledge representation40
- Machine learning40
- Neural networks40
- Recommender system40
- Reinforcement learning40
- Supervised learning40
- Unsupervised learning40
- Metagenomics35
- Shotgun metagenomics35
- RNA-Seq analysis33
- Electrophysiology30
- Physiology30
- Pipelines30
- Software integration30
- Tool integration30
- Tool interoperability30
- Workflows30
- High-throughput sequencing29
- Chromosome walking28
- Clone verification28
- DNA-Seq28
- DNase-Seq28
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Event type
- Workshops and courses3
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- United Kingdom3
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Organizer
- University of Cambridge3
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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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