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Content provider
- University of Cambridge Bioinformatics Training3
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Keyword
- HDRUK3
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Scientific topic
- Phylogenetics
- Bioinformatics22
- Data rendering16
- Data visualisation16
- Data mining9
- Pattern recognition9
- Comparative transcriptomics6
- Functional genomics6
- Transcriptome6
- Transcriptomics6
- Active learning3
- Aerobiology3
- Behavioural biology3
- Biological rhythms3
- Biological science3
- Biology3
- Chromosome walking3
- Chronobiology3
- Clone verification3
- Cryobiology3
- DNA-Seq3
- DNase-Seq3
- Ensembl learning3
- High throughput sequencing3
- High-throughput sequencing3
- Kernel methods3
- Knowledge representation3
- Machine learning3
- NGS3
- NGS data analysis3
- Neural networks3
- Next gen sequencing3
- Next generation sequencing3
- Panels3
- Primer walking3
- Python3
- Python program3
- Python script3
- Recommender system3
- Reinforcement learning3
- Reproductive biology3
- Sanger sequencing3
- Sequencing3
- Supervised learning3
- Targeted next-generation sequencing panels3
- Unsupervised learning3
- py3
- AMR2
- Antibiotic resistance (ABR)2
- Antifungal resistance2
- Antimicrobial resistance2
- Antiprotozoal resistance2
- Antiviral resistance2
- Bottom-up proteomics2
- Discovery proteomics2
- Exometabolomics2
- Extensive drug resistance (XDR)2
- GWAS2
- GWAS analysis2
- GWAS study2
- Genome-wide association study2
- LC-MS-based metabolomics2
- MS-based metabolomics2
- MS-based targeted metabolomics2
- MS-based targeted proteomics2
- MS-based untargeted metabolomics2
- MS-based untargeted proteomics2
- Mass spectrometry-based metabolomics2
- Metabolites2
- Metabolome2
- Metabolomics2
- Metabonomics2
- Metaproteomics2
- Multidrug resistance2
- Multiple drug resistance (MDR)2
- Multiresistance2
- NMR-based metabolomics2
- Pandrug resistance (PDR)2
- Peptide identification2
- Protein and peptide identification2
- Protein structure2
- Proteomics2
- Quantitative proteomics2
- Targeted proteomics2
- Top-down proteomics2
- Total drug resistance (TDR)2
- Assembly1
- Bioimaging1
- Biological imaging1
- Biological models1
- Biological networks1
- Biological pathways1
- Biological sequences1
- Biomathematics1
- Biomolecular structure1
- Cancer1
- Cancer biology1
- Cellular process pathways1
- Chemical biology1
- Coding RNA1
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Event type
- Workshops and courses3
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Country
- United Kingdom3
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Organizer
- University of Cambridge3
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Target audience
- The course is aimed at biologists interested in microbiology2
- prokaryotic genomics and antimicrobial resistance.2
- Everyone is welcome to attend the courses1
- Note that we will not cover specific topics in phylogenomics (whole-genome phylogenies) or bacterial genomics.1
- This course is aimed at researchers with no prior experience in phylogenetic analysis who would like an introduction to the foundations of building phylogenies from relatively small sequences (viral genomes and/or targeted regions of eukaryotic genomes).1
- please review the policies.1
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