- Home
- Events
Filters
Sort
-
-
Filter Clear filters
-
-
Start
- -
-
-
-
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
- Show N_FILTERS more
-
-
-
Scientific topic
- Bioinformatics1156
- Genome annotation369
- Exomes366
- Genomes366
- Genomics366
- Personal genomics366
- Synthetic genomics366
- Viral genomics366
- Whole genomes366
- Biological modelling304
- Biological system modelling304
- Systems biology304
- Systems modelling304
- Biomedical research258
- Clinical medicine258
- Experimental medicine258
- General medicine258
- Internal medicine258
- Medicine258
- Bottom-up proteomics169
- Discovery proteomics169
- MS-based targeted proteomics169
- MS-based untargeted proteomics169
- Metaproteomics169
- Peptide identification169
- Protein and peptide identification169
- Proteomics169
- Quantitative proteomics169
- Targeted proteomics169
- Top-down proteomics169
- Data visualisation135
- Data rendering128
- Exometabolomics95
- LC-MS-based metabolomics95
- MS-based metabolomics95
- MS-based targeted metabolomics95
- MS-based untargeted metabolomics95
- Mass spectrometry-based metabolomics95
- Metabolites95
- Metabolome95
- Metabolomics95
- Metabonomics95
- NMR-based metabolomics95
- Data management94
- Metadata management94
- Aerobiology90
- Behavioural biology90
- Biological rhythms90
- Biological science90
- Biology90
- Chronobiology90
- Cryobiology90
- Reproductive biology90
- Computational pharmacology84
- Immunology84
- Pharmacoinformatics84
- Pharmacology84
- Data mining79
- Pattern recognition79
- Comparative transcriptomics70
- Transcriptome70
- Transcriptomics70
- Cloud computing61
- Computer science61
- HPC61
- High performance computing61
- High-performance computing61
- Functional genomics44
- Biomathematics43
- Computational biology43
- Mathematical biology43
- Theoretical biology43
- Epigenomics42
- Disease41
- Pathology41
- Active learning40
- Ensembl learning40
- Kernel methods40
- Knowledge representation40
- Machine learning40
- Neural networks40
- Recommender system40
- Reinforcement learning40
- Supervised learning40
- Unsupervised learning40
- Metagenomics35
- Shotgun metagenomics35
- RNA-Seq analysis33
- Electrophysiology30
- Physiology30
- Pipelines30
- Software integration30
- Tool integration30
- Tool interoperability30
- Workflows30
- High-throughput sequencing29
- Chromosome walking28
- Clone verification28
- DNA-Seq28
- DNase-Seq28
- Show N_FILTERS more
-
-
-
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
- Show N_FILTERS more
-
-
-
Eligibility
- First come first served2
- Show N_FILTERS more
-
- Only show online events
- Hide past events
- Show disabled events