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Content provider
- European Bioinformatics Institute (EBI)7
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Keyword
- Cytoscape3
- networks and pathways3
- Multiomics2
- Biological networks1
- Building biological networks1
- Cross domain (cross-domain)1
- DNA & RNA (dna-rna)1
- Data integration1
- Data visualisation1
- Graph theory1
- IntAct Molecular Interaction Database1
- Multiomics data integration1
- Pathway analysis1
- Proteins (proteins)1
- Reactome pathways database1
- ReactomeGSA1
- Single cell RNA-seq1
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Scientific topic
- Bioinformatics709
- Genome annotation317
- Exomes308
- Genomes308
- Genomics308
- Personal genomics308
- Synthetic genomics308
- Viral genomics308
- Whole genomes308
- Biological modelling219
- Biological system modelling219
- Systems biology219
- Systems modelling219
- Biomedical research189
- Clinical medicine189
- Experimental medicine189
- General medicine189
- Internal medicine189
- Medicine189
- Data management157
- Metadata management157
- Research data management (RDM)157
- Bottom-up proteomics153
- Discovery proteomics153
- MS-based targeted proteomics153
- MS-based untargeted proteomics153
- Metaproteomics153
- Peptide identification153
- Protein and peptide identification153
- Proteomics153
- Quantitative proteomics153
- Targeted proteomics153
- Top-down proteomics153
- Cloud computing61
- Computer science61
- HPC61
- High performance computing61
- High-performance computing61
- Exometabolomics59
- LC-MS-based metabolomics59
- MS-based metabolomics59
- MS-based targeted metabolomics59
- MS-based untargeted metabolomics59
- Mass spectrometry-based metabolomics59
- Metabolites59
- Metabolome59
- Metabolomics59
- Metabonomics59
- NMR-based metabolomics59
- Immunology56
- Computational pharmacology54
- Pharmacoinformatics54
- Pharmacology54
- Comparative transcriptomics53
- Transcriptome53
- Transcriptomics53
- Data archival52
- Data archiving52
- Data curation52
- Data curation and archival52
- Data preservation52
- Database curation52
- Research data archiving52
- Biomathematics51
- Computational biology51
- Mathematical biology51
- Theoretical biology51
- FAIR data50
- Findable, accessible, interoperable, reusable data50
- Active learning46
- Ensembl learning46
- Kernel methods46
- Knowledge representation46
- Machine learning46
- Neural networks46
- Pipelines46
- Recommender system46
- Reinforcement learning46
- Software integration46
- Supervised learning46
- Tool integration46
- Tool interoperability46
- Unsupervised learning46
- Workflows46
- RNA-Seq analysis45
- Data visualisation39
- MicroRNA sequencing36
- RNA sequencing36
- RNA-Seq36
- Small RNA sequencing36
- Small RNA-Seq36
- Small-Seq36
- Transcriptome profiling36
- WTSS36
- Whole transcriptome shotgun sequencing36
- miRNA-seq36
- Metagenomics34
- Shotgun metagenomics34
- Data rendering32
- Antimicrobial stewardship30
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Event type
- Workshops and courses7
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Country
- United Kingdom2
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Target audience
- This introductory course is aimed at biologists who are embarking on multiomics projects and computational biologists/bioinformaticians who wish to gain a better knowledge of the biological challenges presented when working with integrated datasets. Some practical sessions in the course require a basic understanding of the Unix command line and the R statistics package. If you are not already familiar with these then please ensure that you complete these free tutorials before you attend the course: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Basic R concept tutorials: www.r-tutor.com/r-introduction1
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