Comprehensive analysis of yeast expression-fitness functions (EFFs)

Project Information

YEFF

Grant agreement ID: 752809

DOI

10.3030/752809

Project closed

EC signature date 17 March 2017

Start date 1 May 2018

End date 25 June 2020

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 170 121,60

EU contribution

€ 170 121,60

Coordinated by

FUNDACIO CENTRE DE REGULACIO GENOMICA
Spain

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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 (3)

Determining protein structures using deep mutagenesis

Author(s): Jörn M. Schmiedel, Ben Lehner
Published in: Nature Genetics, Issue 51/7, 2019, Page(s) 1177-1186, ISSN 1061-4036
Publisher: Nature Publishing Group
DOI: 10.1038/s41588-019-0431-x

Empirical mean-noise fitness landscapes reveal the fitness impact of gene expression noise

Author(s): Jörn M. Schmiedel, Lucas B. Carey, Ben Lehner
Published in: Nature Communications, Issue 10/1, 2019, ISSN 2041-1723
Publisher: Nature Publishing Group
DOI: 10.1038/s41467-019-11116-w

DiMSum: an error model and pipeline for analyzing deep mutational scanning data and diagnosing common experimental pathologies

Author(s): Andre J. Faure, Jörn M. Schmiedel, Pablo Baeza-Centurion, Ben Lehner
Published in: Genome Biology, Issue 21/1, 2020, ISSN 1474-760X
Publisher: Genome Biology
DOI: 10.1186/s13059-020-02091-3