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- University of Cambridge Bioinformatics Training82
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Keyword
- HDRUK82
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Scientific topic
- Biology
- Bioinformatics350
- Data rendering128
- Data visualisation128
- Data mining97
- Pattern recognition97
- Aerobiology82
- Behavioural biology82
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- Functional genomics48
- Comparative transcriptomics43
- Transcriptome43
- Transcriptomics43
- Active learning22
- Ensembl learning22
- Kernel methods22
- Knowledge representation22
- Machine learning22
- Neural networks22
- Recommender system22
- Reinforcement learning22
- Supervised learning22
- Unsupervised learning22
- Exomes16
- Genome annotation16
- Genomes16
- Genomics16
- Personal genomics16
- Synthetic genomics16
- Viral genomics16
- Whole genomes16
- 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
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- Python script14
- Signal peptide coding sequence14
- Transit peptide coding sequence14
- cDNA14
- mRNA14
- mRNA features14
- py14
- ChIP-exo12
- ChIP-seq12
- ChIP-sequencing12
- Chip Seq12
- Chip sequencing12
- Chip-sequencing12
- Phylogenetics10
- Biomedical research9
- Clinical medicine9
- DNA methylation9
- Epigenetics9
- Epigenomics9
- Experimental medicine9
- General medicine9
- Histone modification9
- Internal medicine9
- Medicine9
- Methylation profiles9
- Cloud computing7
- Computer science7
- Data management7
- Exometabolomics7
- HPC7
- High performance computing7
- High-performance computing7
- LC-MS-based metabolomics7
- MS-based metabolomics7
- MS-based targeted metabolomics7
- MS-based untargeted metabolomics7
- Mass spectrometry-based metabolomics7
- Metabolites7
- Metabolome7
- Metabolomics7
- Metabonomics7
- Metadata management7
- NMR-based metabolomics7
- Biological modelling5
- Biological system modelling5
- Systems biology5
- Systems modelling5
- Codon usage4
- DNA chips4
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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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