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Contributors: Stephen Taylor 

Zegami: A tool for image data exploration

Stephen Taylor discusses the Zegami visualisation tool at 1st BiVi in 2014. An associated poster is also available. Created at: 1st BiVi Annual Meeting.

Keywords: Anatomy Physiology and Atlases, Cells and Organisms, Genome

Resource type: Poster, Video

Zegami: A tool for image data exploration http://tess.elixir-uk.org/materials/zegami-a-tool-for-image-data-exploration Stephen Taylor discusses the Zegami visualisation tool at 1st BiVi in 2014. An associated poster is also available. Created at: 1st BiVi Annual Meeting. Stephen Taylor Anatomy Physiology and Atlases, Cells and Organisms, Genome 2017-02-02
Zegami: Image visualisation, annotation and searching

Stephen Taylor describes and demonstrates Zegami at 2nd BiVi in 2015. Created at: 2nd BiVi Annual Meeting.

Keywords: Anatomy Physiology and Atlases, Cells and Organisms, Genome

Resource type: Slideshow

Zegami: Image visualisation, annotation and searching http://tess.elixir-uk.org/materials/zegami-image-visualisation-annotation-and-searching Stephen Taylor describes and demonstrates Zegami at 2nd BiVi in 2015. Created at: 2nd BiVi Annual Meeting. Stephen Taylor Anatomy Physiology and Atlases, Cells and Organisms, Genome 2017-02-03
Zegami: Digital Data Integration, Visualisation and Management

Stephen Taylor discusses Zegami with examples and latest developments at 3rd BiVi in April 2017.Zegami has the potential to do for images what the spreadsheet did for number calculations. It provides a way of manipulating images and derived values (from the images themselves or annotated...

Keywords: Cells and Organisms, Databases

Resource type: Video

Zegami: Digital Data Integration, Visualisation and Management http://tess.elixir-uk.org/materials/zegami-digital-data-integration-visualisation-and-management Stephen Taylor discusses Zegami with examples and latest developments at 3rd BiVi in April 2017.Zegami has the potential to do for images what the spreadsheet did for number calculations. It provides a way of manipulating images and derived values (from the images themselves or annotated metadata) on a massive scale allowing querying and organisation of large image based collections. The talk will show various examples of its usage in biology and beyond, and will look at new features such as annotation to build training sets for machine learning. Created at: 3rd BiVi Annual Meeting (2017). Stephen Taylor Cells and Organisms, Databases 2017-05-12