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Keyword
- HDRUK14
- BioImage Archive4
- Bioimage analysis4
- Electron microscopy4
- Light microscopy4
- Machine learning models4
- Scientific computing4
- BioStudies Database2
- Electron Microscopy Public Image Archive - EMPIAR2
- Bioimage analysis resource1
- Ensembl Plants1
- European Nucleotide Archive1
- European Variation Archive1
- Expression Atlas1
- Germinate1
- Gramene1
- MGnify1
- MetaboLights: Metabolomics repository and reference database1
- PRIDE: The Proteomics Identifications Database1
- UniProt: The Universal Protein Resource1
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Scientific topic
- Bioinformatics1026
- Genome annotation285
- Exomes282
- Genomes282
- Genomics282
- Personal genomics282
- Synthetic genomics282
- Viral genomics282
- Whole genomes282
- Biological modelling236
- Biological system modelling236
- Systems biology236
- Systems modelling236
- Biomedical research194
- Clinical medicine194
- Experimental medicine194
- General medicine194
- Internal medicine194
- Medicine194
- Bottom-up proteomics143
- Discovery proteomics143
- MS-based targeted proteomics143
- MS-based untargeted proteomics143
- Metaproteomics143
- Peptide identification143
- Protein and peptide identification143
- Proteomics143
- Quantitative proteomics143
- Targeted proteomics143
- Top-down proteomics143
- Data visualisation133
- Data rendering126
- Data management92
- Metadata management92
- Research data management (RDM)92
- Aerobiology89
- Behavioural biology89
- Biological rhythms89
- Biological science89
- Biology89
- Chronobiology89
- Cryobiology89
- Reproductive biology89
- Data mining78
- Pattern recognition78
- Comparative transcriptomics68
- Transcriptome68
- Transcriptomics68
- Exometabolomics67
- LC-MS-based metabolomics67
- MS-based metabolomics67
- MS-based targeted metabolomics67
- MS-based untargeted metabolomics67
- Mass spectrometry-based metabolomics67
- Metabolites67
- Metabolome67
- Metabolomics67
- Metabonomics67
- NMR-based metabolomics67
- Computational pharmacology61
- Pharmacoinformatics61
- Pharmacology61
- Cloud computing59
- Computer science59
- HPC59
- High performance computing59
- High-performance computing59
- Biomathematics52
- Computational biology52
- Immunology52
- Mathematical biology52
- Theoretical biology52
- Functional genomics44
- Active learning40
- Ensembl learning40
- Kernel methods40
- Knowledge representation40
- Machine learning40
- Neural networks40
- Recommender system40
- Reinforcement learning40
- Supervised learning40
- Unsupervised learning40
- RNA-Seq analysis33
- Epigenomics31
- Disease29
- Metagenomics29
- Pathology29
- Shotgun metagenomics29
- High-throughput sequencing28
- Pipelines28
- Protein databases28
- Software integration28
- Tool integration28
- Tool interoperability28
- Workflows28
- Chromosome walking27
- Clone verification27
- DNA-Seq27
- DNase-Seq27
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Target audience
- Institutions and other external Institutions or individuals14
- Postdocs and Staff members from the University of Cambridge14
- Graduate students13
- Researchers who are applying or planning to apply image analysis in their research4
- Researchers who want to extract quantitative information from microscopy images4
- Anyone wanting to use OMERO to organize2
- Facility Managers wanting to train users2
- annotate and publish imaging data2
- view2
- <span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee. <span style="color:#0000FF"> Members of Industry to pay 575.00 GBP. </span style> <span style="color:#0000FF">All Members of the University of Cambridge1
- Affiliated Institutions and other academic participants from External Institutions and Charitable Organizations to pay 250.00 GBP. </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style>1
- Anybody interested in using Jupyter and OMERO1
- BioImage Analysts with some experience of basic microscopy image analysis1
- Biophysicists1
- Cell Biologists1
- Day1 is intended for biologists and computer scientists interested in using LithoGraphX. Some experience in imaging is desirable but not required.1
- Day2 is intended for computer scientists wanting either to write their own algorithm or automate complex protocols. Basic python knowledge and familiar with C++ are required.1
- Facility Managers using or1
- Life scientists with programming skills1
- OMERO for image data management1
- Plant research1
- The course is open to Graduate students1
- This course is appropriate for researchers who are relatively proficient with computers but maybe not had the time or resources available to become programmers.1
- This course may be of interest to physical scientists looking to develop their knowledge of Python coding in the context of bioimage analysis1
- bioinformaticians and image analysts.1
- wanting to use1
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Eligibility
- First come first served2
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