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- University of Cambridge Bioinformatics Training82
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Keyword
- HDRUK82
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Scientific topic
- Biology
- Bioinformatics370
- Data rendering129
- Data visualisation129
- Data mining97
- Pattern recognition97
- Aerobiology82
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- Biological rhythms82
- Biological science82
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- Reproductive biology82
- Functional genomics48
- Comparative transcriptomics44
- Transcriptome44
- Transcriptomics44
- Biomedical research34
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- General medicine34
- Internal medicine34
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- Exomes31
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- Synthetic genomics31
- Viral genomics31
- Whole genomes31
- Active learning22
- Bottom-up proteomics22
- Discovery proteomics22
- Ensembl learning22
- Kernel methods22
- Knowledge representation22
- MS-based targeted proteomics22
- MS-based untargeted proteomics22
- Machine learning22
- Metaproteomics22
- Neural networks22
- Peptide identification22
- Protein and peptide identification22
- Proteomics22
- Quantitative proteomics22
- Recommender system22
- Reinforcement learning22
- Supervised learning22
- Targeted proteomics22
- Top-down proteomics22
- Unsupervised learning22
- Biological modelling20
- Biological system modelling20
- Systems biology20
- Systems modelling20
- Bioimaging14
- Biological imaging14
- Coding RNA14
- EST14
- Exons14
- Fusion genes14
- Fusion transcripts14
- Gene features14
- Gene structure14
- Gene transcript features14
- Gene transcripts14
- Introns14
- PolyA signal14
- PolyA site14
- Python14
- Python program14
- Python script14
- Signal peptide coding sequence14
- Transit peptide coding sequence14
- cDNA14
- mRNA14
- mRNA features14
- py14
- Computational pharmacology13
- Pharmacoinformatics13
- Pharmacology13
- ChIP-exo12
- ChIP-seq12
- ChIP-sequencing12
- Chip Seq12
- Chip sequencing12
- Chip-sequencing12
- Immunology12
- Epigenomics11
- Data management10
- Metadata management10
- Phylogenetics10
- DNA methylation9
- Epigenetics9
- Exometabolomics9
- Histone modification9
- LC-MS-based metabolomics9
- MS-based metabolomics9
- MS-based targeted metabolomics9
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Event type
- Workshops and courses82
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Country
- United Kingdom82
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Organizer
- University of Cambridge82
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Target audience
- Graduate students80
- Institutions and other external Institutions or...80
- Postdocs and Staff members from the University ...80
- Existing R users who are not familiar with dply...8
- Those with programming experience in other lang...8
- but not essential as we will walk through a MS ...3
- Familiarity with mass spectrometry or proteomic...2
- The course is targeted to either proteomics pra...2
- The course is targeted to either proteomics pra...1
- The tutorial will be at an introductory level1
- The tutorial will be of interest to computation...1
- This is aimed for life scientists with little o...1
- but will also describe current research directi...1
- produce or analyse large structured datasets.1
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Eligibility
- First come first served4
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