Biological Imaging Data Processing for Data Scientists
Organizer: University of Cambridge
Host institution: University of Cambridge Bioinformatics Training
Start: Friday, 08 December 2017 @ 09:30
End: Friday, 08 December 2017 @ 17:00
Venue: Craik-Marshall Building
Country: United Kingdom
Postcode: CB2 3AR
Scientific topic: Data management, Biological imaging, BioinformaticsTarget audience:
- Life scientists with programming skills
- bioinformaticians and image analysts.
- Anybody interested in using Jupyter and OMERO
- Graduate students
- Postdocs and Staff members from the University of Cambridge
- Institutions and other external Institutions or individuals
The Open Microscopy Environment (OME) is an open-source software project that develops tools that enable access, analysis, visualization, sharing and publication of biological image data.
OME has three components:
- OME-TIFF, standardised file format and data model;
- Bio-Formats, a software library for reading proprietary image file formats; and
- OMERO, a software platform for image data management and analysis.
In this one day course, we will present the OMERO platform, and show how to transition from manual data processing to automated processing workflows. We will introduce how to write applications against the OMERO API, how to integrate a variety of processing tools with OMERO and how to automatically generate output ready for publication.
This course is organized alongside a one day course on Biological Imaging Data Management for Life Scientists. More information on this event are available here.
This course will be delivered by members of the OMERO team. The OME project is supported by BBSRC and Wellcome Trust.
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