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Content provider
- European Bioinformatics Institute (EBI)28
- GTN1
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Keyword
- UniProt: The Universal Protein Resource13
- Proteins (proteins)11
- RNA-Seq5
- Transcriptome assembly5
- Transcriptomics5
- Gene transcripts4
- protein3
- InterPro2
- Network analysis2
- Protein Data Bank in Europe2
- proteins2
- 3D structure1
- Aggregated view1
- AlphaFold Database1
- DNA & RNA (dna-rna)1
- Ensembl1
- Ensembl Genomes1
- Expression Atlas1
- Gene Transcripts1
- InterProScan1
- Interpro API1
- Malaria1
- Molecular building blocks of life1
- Neurodegenerative disorders1
- Pipeline implementation1
- Programmatic access1
- ProtVar1
- Protein1
- Protein Data Bank in Europe - Knowledge Base1
- Protein families1
- Protein function1
- Protein functional analysis1
- Structural similarity1
- UniProtKB1
- Variant prediction1
- microbiome1
- proteome reference1
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Scientific topic
- Bioinformatics744
- Genome annotation322
- Exomes313
- Genomes313
- Genomics313
- Personal genomics313
- Synthetic genomics313
- Viral genomics313
- Whole genomes313
- Biological modelling218
- Biological system modelling218
- Systems biology218
- Systems modelling218
- Biomedical research185
- Clinical medicine185
- Experimental medicine185
- General medicine185
- Internal medicine185
- Medicine185
- Data management156
- Metadata management156
- Research data management (RDM)156
- 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 computing62
- Computer science62
- HPC62
- High performance computing62
- High-performance computing62
- 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
- Immunology56
- Computational pharmacology54
- Pharmacoinformatics54
- Pharmacology54
- Comparative transcriptomics51
- Transcriptome51
- Transcriptomics51
- Biomathematics50
- Computational biology50
- Data archival50
- Data archiving50
- Data curation50
- Data curation and archival50
- Data preservation50
- Database curation50
- FAIR data50
- Findable, accessible, interoperable, reusable data50
- Mathematical biology50
- Research data archiving50
- Theoretical biology50
- Pipelines46
- Software integration46
- Tool integration46
- Tool interoperability46
- Workflows46
- Active learning45
- Ensembl learning45
- Kernel methods45
- Knowledge representation45
- Machine learning45
- Neural networks45
- Recommender system45
- Reinforcement learning45
- Supervised learning45
- Unsupervised learning45
- RNA-Seq analysis43
- Data visualisation39
- Metagenomics34
- MicroRNA sequencing34
- RNA sequencing34
- RNA-Seq34
- Shotgun metagenomics34
- Small RNA sequencing34
- Small RNA-Seq34
- Small-Seq34
- Transcriptome profiling34
- WTSS34
- Whole transcriptome shotgun sequencing34
- miRNA-seq34
- Data rendering32
- Antimicrobial stewardship30
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Event type
- Workshops and courses28
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Country
- United Kingdom4
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Sponsor
- Australian BioCommons1
- ELIXIR Europe1
- Erasmus Medical Center1
- German Network for Bioinformatics Infrastructure Service, Training, Cooperations & Cloud Computing1
- Melbourne Bioinformatics1
- The Pennsylvania State University1
- The University of Melbourne1
- University of Freiburg1
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Target audience
- This course is aimed at life scientists who are working in the field of metagenomics, in the early stages of their data analysis, and who may already have some prior experience in using bioinformatics in their research. Prerequisites 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
- This workshop is aimed at researchers and bioinformaticians from across industry and academia who are looking to leverage machine learning approaches in protein function prediction. It will guide participants through the use of big data to build analytical workflows on publically-available biological data. Participants will require prior experience in the use of the command line interface and confidence in a programming language to fully benefit from the workshop. Please contact us if you have any questions about the course's suitability before you apply.1
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Language
- English1
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Instructor
- Aduragbemi Adesina1
- Alex Mitchell1
- Alexandre Almeida1
- Amanda Warr1
- Chris Quince1
- Daniel Rice1
- Darren Wilkinson1
- David C J Carpentier1
- Emily Bowler-Barnett1
- Gift Nuka1
- Guillermo Rangel1
- Gustavo Salazar-Orejuela1
- Hermann Zellner1
- James Stephenson1
- Josephine Burgin1
- Lorna Richardson1
- Paul Denny1
- Pedro Raposo1
- Preeti Choudhary1
- Rabie Saidi1
- Rob Finn1
- Rossana Zaru1
- Sam Holt1
- Tanushree Tunstall1
- Tom Hancocks1
- Typhaine Paysan-Lafosse1
- Yvonne Lussi1
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