Cytoscape stringApp exercises
Hands-on exercises using the stringApp for Cytoscape to retrieve molecular networks from the STRING and STITCH databases.
Scientific topics: Data visualisation, Proteomics, Protein interactions, Molecular interactions, pathways and networks, Bioinformatics
Cytoscape stringApp exercises
http://jensenlab.org/training/stringapp/
https://tess.elixir-europe.org/materials/cytoscape-stringapp-exercises
Hands-on exercises using the stringApp for Cytoscape to retrieve molecular networks from the STRING and STITCH databases.
Lars Juhl Jensen
Nadezhda T. Doncheva
Helen V. Cook
John "Scooter" Morris
Data visualisation
Proteomics
Protein interactions
Molecular interactions, pathways and networks
Bioinformatics
Bioinformaticians
Biologists
Intermine 2.0
Yo Yehudi describes Intermine, an open source data warehouse and analysis system at 2nd BiVi in 2015
Created at: 2nd BiVi Annual Meeting.
Scientific topics: Database management
Keywords: Databases
Resource type: Slideshow
Intermine 2.0
https://bivi.co/presentation/intermine-20
https://tess.elixir-europe.org/materials/intermine-2-0
Yo Yehudi describes Intermine, an open source data warehouse and analysis system at 2nd BiVi in 2015
Created at: 2nd BiVi Annual Meeting.
Ms. Yo Yehudi
Database management
Databases
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...
Scientific topics: Database management
Keywords: Cells and Organisms, Databases
Resource type: Video
Zegami: Digital Data Integration, Visualisation and Management
https://bivi.co/presentation/zegami-digital-data-integration-visualisation-and-management
https://tess.elixir-europe.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
Database management
Cells and Organisms, Databases
2017-05-12