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- European Bioinformatics Institute (EBI)7
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Keyword
- Agent-based modelling1
- Boolean modelling1
- CNV analysis1
- COSMIC1
- CRISPR-Cas91
- Cancer1
- Cancer genomics1
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- EurOPDX1
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- Xenograft models1
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Scientific topic
- Bioinformatics77
- Data management50
- Metadata management50
- Genome annotation35
- Exomes33
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- Synthetic genomics33
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- Biomathematics25
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- Tool interoperability21
- Workflows21
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- Findable, accessible, interoperable, reusable data19
- Molecular diagnostics19
- Personalised medicine19
- Precision medicine19
- Community analysis18
- Environmental microbiology18
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- Microbiome18
- Molecular community analysis18
- Protein structures18
- RNA-Seq analysis18
- Research data management (RDM)18
- Active learning17
- Antimicrobial stewardship17
- Ensembl learning17
- Kernel methods17
- Knowledge representation17
- Machine learning17
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- Microbial physiology17
- Microbial surveillance17
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- Microbiology17
- Molecular infection biology17
- Molecular microbiology17
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- Recommender system17
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- Comparative transcriptomics15
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- Genomic variation15
- Mutation15
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- Transcriptome15
- Transcriptomics15
- Data archival14
- Data archiving14
- Data curation and archival14
- Data preservation14
- Exometabolomics14
- LC-MS-based metabolomics14
- MS-based metabolomics14
- MS-based targeted metabolomics14
- MS-based untargeted metabolomics14
- Mass spectrometry-based metabolomics14
- Metabolites14
- Metabolome14
- Metabolomics14
- Metabonomics14
- NMR-based metabolomics14
- Research data archiving14
- Metagenomics13
- Shotgun metagenomics13
- Cloud computing12
- Computer science12
- Function analysis12
- Functional analysis12
- HPC12
- High performance computing12
- High-performance computing12
- High-throughput sequencing12
- MicroRNA sequencing12
- Omics12
- RNA sequencing12
- RNA-Seq12
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Event type
- Workshops and courses7
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Country
- United Kingdom1
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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.2
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