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Data-driven multiscale modeling reveals the role of metabolic coupling for the spatio-temporal growth dynamics of yeast colonies
View ORCID ProfileJukka Intosalmi, Adrian C. Scott, Michelle Hays, Nicholas Flann, Olli Yli-Harja, Harri Lähdesmäki, Aimée M. Dudley, Alexander Skupin
doi: https://doi.org/10.1101/344226
Jukka Intosalmi
1Department of Computer Science, Aalto University, Aalto, Finland
Adrian C. Scott
2Pacific Northwest Research Institute, Seattle, WA, USA
Michelle Hays
3Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA
Nicholas Flann
4Department of Computer Science, Utah State University, Logan, UT, USA
Olli Yli-Harja
5BioMediTech and Faculty of Biomedical Sciences and Engineering, Tampere University of Technology, Tampere, Finland
6Institute for Systems Biology, Seattle, WA, USA
Harri Lähdesmäki
1Department of Computer Science, Aalto University, Aalto, Finland
Aimée M. Dudley
2Pacific Northwest Research Institute, Seattle, WA, USA
3Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA
Alexander Skupin
7Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
8University of California San Diego, La Jolla, USA
Article usage
Posted June 11, 2018.
Data-driven multiscale modeling reveals the role of metabolic coupling for the spatio-temporal growth dynamics of yeast colonies
Jukka Intosalmi, Adrian C. Scott, Michelle Hays, Nicholas Flann, Olli Yli-Harja, Harri Lähdesmäki, Aimée M. Dudley, Alexander Skupin
bioRxiv 344226; doi: https://doi.org/10.1101/344226
Data-driven multiscale modeling reveals the role of metabolic coupling for the spatio-temporal growth dynamics of yeast colonies
Jukka Intosalmi, Adrian C. Scott, Michelle Hays, Nicholas Flann, Olli Yli-Harja, Harri Lähdesmäki, Aimée M. Dudley, Alexander Skupin
bioRxiv 344226; doi: https://doi.org/10.1101/344226
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