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- University of Cambridge Bioinformatics Training7
- iAnn3
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Keyword
- HDRUK7
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Scientific topic
- Synthetic genomics
- Bioinformatics300
- Data rendering102
- Data visualisation102
- Aerobiology78
- Behavioural biology78
- Biological rhythms78
- Biological science78
- Biology78
- Chronobiology78
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- Reproductive biology78
- Data mining75
- Pattern recognition75
- Functional genomics34
- Comparative transcriptomics31
- Transcriptome31
- Transcriptomics31
- Active learning19
- Ensembl learning19
- Kernel methods19
- Knowledge representation19
- Machine learning19
- Neural networks19
- Recommender system19
- Reinforcement learning19
- Supervised learning19
- Unsupervised learning19
- 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
- Exomes10
- Genome annotation10
- Genomes10
- Genomics10
- Personal genomics10
- Viral genomics10
- Whole genomes10
- Python9
- Python program9
- Python script9
- py9
- DNA methylation8
- Epigenetics8
- Epigenomics8
- Histone modification8
- Methylation profiles8
- Exometabolomics6
- LC-MS-based metabolomics6
- MS-based metabolomics6
- MS-based targeted metabolomics6
- MS-based untargeted metabolomics6
- Mass spectrometry-based metabolomics6
- Metabolites6
- Metabolome6
- Metabolomics6
- Metabonomics6
- NMR-based metabolomics6
- Phylogenetics5
- Biomedical research4
- Clinical medicine4
- Codon usage4
- DNA chips4
- DNA microarrays4
- Data management4
- Experimental medicine4
- Expression4
- Gene expression4
- Gene expression profiling4
- Gene transcription4
- Gene translation4
- General medicine4
- Genotype4
- Genotype and phenotype4
- Genotype and phenotype resources4
- Genotype-phenotype4
- Genotype-phenotype analysis4
- Genotyping4
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City
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Target audience
- Graduate students7
- Institutions and other external Institutions or individuals7
- Postdocs and Staff members from the University of Cambridge7
- The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statistics2
- but who have not perhaps put this into practice since.2
- The handson component is aimed at novice to intermediate users who are seeking detailed guidance with GATK and related tools.1
- The lecture based component of the workshop is aimed at a mixed audience of people who are new to the topic of variant discovery or to GATK1
- 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
- or who are already GATK users seeking to improve their understanding of and proficiency with the tools.1
- seeking an introductory course into the tools1
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- First come first served2
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