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Content provider
- European Bioinformatics Institute (EBI)20
- GTN1
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Keyword
- UniProt: The Universal Protein Resource8
- Proteins (proteins)7
- RNA-Seq5
- Transcriptome assembly5
- Transcriptomics5
- Gene transcripts4
- Network analysis2
- protein2
- Aggregated view1
- Ensembl Genomes1
- Expression Atlas1
- Gene Transcripts1
- InterPro1
- InterProScan1
- Malaria1
- Molecular building blocks of life1
- Neurodegenerative disorders1
- Pipeline implementation1
- Protein Data Bank in Europe1
- Protein families1
- Protein function1
- Protein functional analysis1
- Structural similarity1
- UniProtKB1
- microbiome1
- proteins1
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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 courses20
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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
- 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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