CRISPR/Cas9 based kidney disease modeling to elucidate novel genetic drivers and therapeutic targets in X. tropicalis

Project Information

xenCAKUT

Grant agreement ID: 891127

DOI

10.3030/891127

Project closed

EC signature date 6 March 2020

Start date 1 October 2020

End date 30 September 2022

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 191 149,44

EU contribution

€ 191 149,44

Coordinated by

UNIVERSITAT ZURICH
Switzerland

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (1)

Deep learning is widely applicable to phenotyping embryonic development and disease

Author(s): Thomas Naert; Özgün Çiçek; Paulina Ogar; Max Bürgi; Nikko-Ideen Shaidani; Michael M. Kaminski; ; Yuxiao Xu; Kelli Grand; Marko Vujanovic; Daniel Prata; Friedhelm Hildebrandt; Thomas Brox; Olaf Ronneberger; Fabian F. Voigt; Fritjof Helmchen; Johannes Loffing; Marko E. Horb; Helen Rankin Willsey; Soeren S. Lienkamp
Published in: Development, Issue 09501991, 2021, ISSN 0950-1991
Publisher: The Company of Biologists Ltd.
DOI: 10.1242/dev.199664