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Content provider
- European Bioinformatics Institute (EBI)3
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Keyword
- CNV analysis
- CRISPR-Cas93
- Long-read RNA-seq3
- SNV analysis3
- DNA & RNA (dna-rna)2
- NGS2
- Agent-based modelling1
- Boolean modelling1
- COSMIC1
- Cancer1
- Cancer genomics1
- Cancer mutation1
- Cross domain (cross-domain)1
- Data Analysis1
- EurOPDX1
- Genomics1
- Macrophages1
- Next-generation sequencing1
- Oncology1
- Somatic mutation1
- Tumorigenesis1
- Xenograft models1
- cancer1
- chemotherapy1
- drug prioritization1
- gene panels1
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Scientific topic
- Neoplasms
- Cancer3
- Cancer biology3
- Chromosome walking3
- Clone verification3
- DNA-Seq3
- DNase-Seq3
- Exomes3
- Genome annotation3
- Genomes3
- Genomics3
- High throughput sequencing3
- High-throughput sequencing3
- NGS3
- NGS data analysis3
- Neoplasm3
- Next gen sequencing3
- Next generation sequencing3
- Oncology3
- Panels3
- Personal genomics3
- Primer walking3
- Sanger sequencing3
- Sequencing3
- Synthetic genomics3
- Targeted next-generation sequencing panels3
- Viral genomics3
- Whole genomes3
- Allele calling1
- CNV deletion1
- CNV duplication1
- CNV insertion / amplification1
- Complex CNV1
- Copy number variant1
- Copy number variation1
- Exome variant detection1
- Genome variant detection1
- Germ line variant calling1
- Mutation detection1
- SNP calling1
- SNP detection1
- SNP discovery1
- Single nucleotide polymorphism detection1
- Somatic variant calling1
- Variant calling1
- Variant mapping1
- de novo mutation detection1
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Event type
- Workshops and courses3
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Country
- United Kingdom3
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Target audience
- 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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