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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
- Bioinformatics734
- Genome annotation320
- Exomes311
- Genomes311
- Genomics311
- Personal genomics311
- Synthetic genomics311
- Viral genomics311
- Whole genomes311
- Biological modelling218
- Biological system modelling218
- Systems biology218
- Systems modelling218
- Biomedical research185
- Clinical medicine185
- Experimental medicine185
- General medicine185
- Internal medicine185
- Medicine185
- Data management158
- Metadata management158
- Research data management (RDM)158
- Bottom-up proteomics151
- Discovery proteomics151
- MS-based targeted proteomics151
- MS-based untargeted proteomics151
- Metaproteomics151
- Peptide identification151
- Protein and peptide identification151
- Proteomics151
- Quantitative proteomics151
- Targeted proteomics151
- Top-down proteomics151
- Cloud computing63
- Computer science63
- HPC63
- High performance computing63
- High-performance computing63
- 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
- Data archival52
- Data archiving52
- Data curation52
- Data curation and archival52
- Data preservation52
- Database curation52
- Research data archiving52
- Biomathematics51
- Comparative transcriptomics51
- Computational biology51
- FAIR data51
- Findable, accessible, interoperable, reusable data51
- Mathematical biology51
- Theoretical biology51
- Transcriptome51
- Transcriptomics51
- 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
- High-throughput sequencing31
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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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