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Content provider
- University of Cambridge Bioinformatics Training2
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Keyword
- HDRUK2
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Scientific topic
- Proteomics
- Bioinformatics20
- Data rendering16
- Data visualisation16
- Data mining9
- Pattern recognition9
- Comparative transcriptomics6
- Functional genomics6
- Transcriptome6
- Transcriptomics6
- Aerobiology3
- Behavioural biology3
- Biological rhythms3
- Biological science3
- Biology3
- Chromosome walking3
- Chronobiology3
- Clone verification3
- Cryobiology3
- DNA-Seq3
- DNase-Seq3
- High throughput sequencing3
- High-throughput sequencing3
- NGS3
- NGS data analysis3
- Next gen sequencing3
- Next generation sequencing3
- Panels3
- Phylogenetics3
- Primer walking3
- Python3
- Python program3
- Python script3
- Reproductive biology3
- Sanger sequencing3
- Sequencing3
- Targeted next-generation sequencing panels3
- 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
- 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
- Quantitative proteomics2
- Targeted proteomics2
- Top-down proteomics2
- Total drug resistance (TDR)2
- Biomathematics1
- Cancer1
- Cancer biology1
- Coding RNA1
- Computational biology1
- EST1
- Exomes1
- Exons1
- Fusion genes1
- Fusion transcripts1
- GWAS1
- GWAS analysis1
- GWAS study1
- Gene features1
- Gene structure1
- Gene transcript features1
- Gene transcripts1
- Genome annotation1
- Genome-wide association study1
- Genomes1
- Genomics1
- Genotype1
- Genotype and phenotype1
- Genotype and phenotype resources1
- Genotype-phenotype1
- Genotype-phenotype analysis1
- Genotyping1
- Introns1
- Mass spectrometry data1
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Event type
- Workshops and courses2
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Country
- United Kingdom
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Target audience
- Familiarity with mass spectrometry or proteomics in general is desirable2
- The course is targeted to either proteomics practitioners or data analysts/bioinformaticians that would like to learn how to use R to analyse proteomics data.2
- but not essential as we will walk through a MS typical experiment and data as part of learning about the tools.2
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