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Content provider
- European Bioinformatics Institute (EBI)7
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Keyword
- BioImage Archive4
- Bioimage analysis4
- Electron microscopy4
- Light microscopy4
- Machine learning models4
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- BioStudies Database2
- Electron Microscopy Public Image Archive - EMPIAR2
- Bioimage analysis resource1
- Ensembl Plants1
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- Expression Atlas1
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- MGnify1
- MetaboLights: Metabolomics repository and reference database1
- PRIDE: The Proteomics Identifications Database1
- UniProt: The Universal Protein Resource1
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Scientific topic
- Bioinformatics77
- Data management50
- Metadata management50
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- FAIR data19
- Findable, accessible, interoperable, reusable data19
- Molecular diagnostics19
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- Community analysis18
- Environmental microbiology18
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- Microbiome18
- Molecular community analysis18
- Protein structures18
- RNA-Seq analysis18
- Research data management (RDM)18
- Active learning17
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- Ensembl learning17
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- Molecular infection biology17
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- Neural networks17
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- Comparative transcriptomics15
- DNA variation15
- Genetic variation15
- Genomic variation15
- Mutation15
- Polymorphism15
- Somatic mutations15
- Transcriptome15
- Transcriptomics15
- Data archival14
- Data archiving14
- Data curation and archival14
- Data preservation14
- Exometabolomics14
- LC-MS-based metabolomics14
- MS-based metabolomics14
- MS-based targeted metabolomics14
- MS-based untargeted metabolomics14
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- Metabolites14
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- Functional analysis12
- HPC12
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- High-performance computing12
- High-throughput sequencing12
- MicroRNA sequencing12
- Omics12
- RNA sequencing12
- RNA-Seq12
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Event type
- Workshops and courses7
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Country
- United Kingdom1
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Target audience
- This course is aimed at scientists working with biomage data across the life sciences. It is suitable for those involved in creating bioimages or taking their first steps in analysis. The content would also be suitable for those wanting to learn more about the BioImage Archive and gain experience with machine learning approaches for image analysis. The programme will be of particular interest to bioimage analysts with questions relating to the use of ‘big data’ and using the wealth of publically available data curated in the BioImage Archive. The course should be accessible to members of the bioimaging community and does not require prior experience with machine learning methods or use of the BioImage Archive. Applicants are encouraged to explore the resources below before starting their application. Applicants should be comfortable with basic programming tasks and have experience working with Python. Prerequisite reading: BioImage Archive: A call for public archives for biological image data ZeroCostDL4Mic: an open platform to simplify access and use of Deep-Learning in Microscopy The BioStudies database - one stop shop for all data supporting a life sciences study EMPIAR: a public archive for raw electron microscopy image data Image Data Resource: a bioimage data integration and publication platform BioImage Model Zoo 1
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