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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
- Bioinformatics699
- Genome annotation300
- Exomes291
- Genomes291
- Genomics291
- Personal genomics291
- Synthetic genomics291
- Viral genomics291
- Whole genomes291
- Biological modelling213
- Biological system modelling213
- Systems biology213
- Systems modelling213
- Biomedical research180
- Clinical medicine180
- Experimental medicine180
- General medicine180
- Internal medicine180
- Medicine180
- Data management156
- Metadata management156
- Research data management (RDM)156
- Bottom-up proteomics145
- Discovery proteomics145
- MS-based targeted proteomics145
- MS-based untargeted proteomics145
- Metaproteomics145
- Peptide identification145
- Protein and peptide identification145
- Proteomics145
- Quantitative proteomics145
- Targeted proteomics145
- Top-down proteomics145
- Cloud computing61
- Computer science61
- HPC61
- High performance computing61
- High-performance computing61
- Exometabolomics57
- LC-MS-based metabolomics57
- MS-based metabolomics57
- MS-based targeted metabolomics57
- MS-based untargeted metabolomics57
- Mass spectrometry-based metabolomics57
- Metabolites57
- Metabolome57
- Metabolomics57
- Metabonomics57
- NMR-based metabolomics57
- Immunology54
- Computational pharmacology53
- Pharmacoinformatics53
- Pharmacology53
- Comparative transcriptomics52
- Data archival52
- Data archiving52
- Data curation52
- Data curation and archival52
- Data preservation52
- Database curation52
- Research data archiving52
- Transcriptome52
- Transcriptomics52
- Biomathematics51
- Computational biology51
- Mathematical biology51
- Theoretical biology51
- FAIR data48
- Findable, accessible, interoperable, reusable data48
- 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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