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Content provider
- European Bioinformatics Institute (EBI)10
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Keyword
- CNV analysis3
- CRISPR-Cas93
- Long-read RNA-seq3
- SNV analysis3
- DNA & RNA (dna-rna)2
- NGS2
- Agent-based modelling1
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- EurOPDX1
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- Next-generation sequencing1
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Scientific topic
- Bioinformatics50
- Genome annotation28
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- Protein bioinformatics24
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- Biomathematics23
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- Theoretical biology23
- Protein structure20
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- Protein function prediction19
- Molecular diagnostics18
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- Protein structures18
- Biological modelling17
- Biological system modelling17
- Systems biology17
- Systems modelling17
- Metabolic network modelling16
- Metabolic network reconstruction16
- Metabolic network simulation16
- Metabolic pathway modelling16
- Metabolic pathway reconstruction16
- Metabolic pathway simulation16
- Metabolic reconstruction16
- Omics15
- RNA-Seq analysis15
- Biological models14
- Biological networks14
- Biological pathways14
- Cellular process pathways14
- Chromosome walking14
- Clone verification14
- Community analysis14
- DNA-Seq14
- DNase-Seq14
- Disease pathways14
- Environmental information processing pathways14
- Environmental microbiology14
- Function analysis14
- Functional analysis14
- Gene regulatory networks14
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- High throughput sequencing14
- High-throughput sequencing14
- Interactions14
- Interactome14
- Metabolic pathways14
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- Microbial ecology14
- Microbiome14
- Molecular community analysis14
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- NGS data analysis14
- Networks14
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- Panels14
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- Signal transduction pathways14
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- Targeted next-generation sequencing panels14
- Active learning13
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- Transcriptome13
- Transcriptomics13
- Unsupervised learning13
- Antimicrobial stewardship12
- Medical microbiology12
- Microbial genetics12
- Microbial physiology12
- Microbial surveillance12
- Microbiological surveillance12
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Event type
- Workshops and courses10
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Country
- United Kingdom4
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Target audience
- This course is aimed at advanced PhD students and post-doctoral researchers who are applying or planning to apply high throughput sequencing technologies in cancer research and wish to familiarise themselves with bioinformatics tools and data analysis methodologies specific to cancer data. Familiarity with the technology and biological use cases of high throughput sequencing is required, as is some experience with R/Bioconductor (basic understanding of the R syntax and ability to manipulate R objects) and the Unix/Linux operating system.3
- This course is aimed at PhD students and post-doctoral researchers who are applying or planning to apply high throughput sequencing technologies in cancer research and wish to familiarise themselves with bioinformatics tools and data analysis methodologies specific to cancer data. Familiarity with the technology and biological use cases of high throughput sequencing (HTS) is required, as is some experience with R/Bioconductor (basic understanding of the R syntax and ability to manipulate R objects) and the Unix/Linux operating system.1
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