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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
- Bioinformatics736
- Genome annotation322
- Exomes313
- Genomes313
- Genomics313
- Personal genomics313
- Synthetic genomics313
- Viral genomics313
- Whole genomes313
- Biological modelling218
- Biological system modelling218
- Systems biology218
- Systems modelling218
- Biomedical research192
- Clinical medicine192
- Experimental medicine192
- General medicine192
- Internal medicine192
- Medicine192
- Data management155
- Metadata management155
- Research data management (RDM)155
- Bottom-up proteomics154
- Discovery proteomics154
- MS-based targeted proteomics154
- MS-based untargeted proteomics154
- Metaproteomics154
- Peptide identification154
- Protein and peptide identification154
- Proteomics154
- Quantitative proteomics154
- Targeted proteomics154
- Top-down proteomics154
- Cloud computing59
- Computer science59
- HPC59
- High performance computing59
- High-performance computing59
- Exometabolomics58
- LC-MS-based metabolomics58
- MS-based metabolomics58
- MS-based targeted metabolomics58
- MS-based untargeted metabolomics58
- Mass spectrometry-based metabolomics58
- Metabolites58
- Metabolome58
- Metabolomics58
- Metabonomics58
- NMR-based metabolomics58
- Immunology57
- Computational pharmacology55
- Pharmacoinformatics55
- Pharmacology55
- 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
- Pipelines46
- Software integration46
- Tool integration46
- Tool interoperability46
- Workflows46
- Active learning45
- Ensembl learning45
- Kernel methods45
- Knowledge representation45
- Machine learning45
- Neural networks45
- RNA-Seq analysis45
- Recommender system45
- Reinforcement learning45
- Supervised learning45
- Unsupervised learning45
- Data visualisation41
- MicroRNA sequencing36
- RNA sequencing36
- RNA-Seq36
- Small RNA sequencing36
- Small RNA-Seq36
- Small-Seq36
- Transcriptome profiling36
- WTSS36
- Whole transcriptome shotgun sequencing36
- miRNA-seq36
- Data rendering34
- Metagenomics34
- Shotgun metagenomics34
- High-throughput sequencing31
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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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