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- University of Cambridge Bioinformatics Training7
- iAnn3
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Keyword
- HDRUK7
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Scientific topic
- Exomes
- Bioinformatics363
- Data rendering147
- Data visualisation147
- Data mining110
- Pattern recognition110
- Aerobiology86
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- Biological rhythms86
- Biological science86
- Biology86
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- Reproductive biology86
- Functional genomics55
- Comparative transcriptomics50
- Transcriptome50
- Transcriptomics50
- Active learning22
- Ensembl learning22
- Kernel methods22
- Knowledge representation22
- Machine learning22
- Neural networks22
- Recommender system22
- Reinforcement learning22
- Supervised learning22
- Unsupervised learning22
- Python18
- Python program18
- Python script18
- py18
- Coding RNA15
- EST15
- Exons15
- Fusion genes15
- Fusion transcripts15
- Gene features15
- Gene structure15
- Gene transcript features15
- Gene transcripts15
- Introns15
- PolyA signal15
- PolyA site15
- Signal peptide coding sequence15
- Transit peptide coding sequence15
- cDNA15
- mRNA15
- mRNA features15
- Bioimaging14
- Biological imaging14
- Phylogenetics14
- ChIP-exo12
- ChIP-seq12
- ChIP-sequencing12
- Chip Seq12
- Chip sequencing12
- Chip-sequencing12
- Genome annotation10
- Genomes10
- Genomics10
- Personal genomics10
- Synthetic genomics10
- Viral genomics10
- Whole genomes10
- DNA methylation9
- Epigenetics9
- Epigenomics9
- Histone modification9
- Methylation profiles9
- Exometabolomics8
- LC-MS-based metabolomics8
- MS-based metabolomics8
- MS-based targeted metabolomics8
- MS-based untargeted metabolomics8
- Mass spectrometry-based metabolomics8
- Metabolites8
- Metabolome8
- Metabolomics8
- Metabonomics8
- NMR-based metabolomics8
- 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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- Prague 61
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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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Eligibility
- First come first served2
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