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- Title:
Understanding biochemical design principles with ensembles of canonical non-linear models (data and code)
- Document type:
- Forschungsdaten
- Publication date:
- 01.04.2020
- Responsible:
- Marin-Sanguino, Alberto
- Authors:
- Bromig, Lukas; Kremling, Andreas; Marin-Sanguino, Alberto
- Author affiliation:
- TUM
- Publisher:
- TUM
- End date of data production:
- 18.03.2020
- Subject area:
- BIO Biowissenschaften; CIT Chemie-Ingenieurwesen, Technische Chemie, Biotechnologie
- Resource type:
- Simulationen / simulations
- Data type:
- Programme und Anwendungen / software and applications
- Description:
- Code and simulated data from Article Bromig et al 2020
- Method of data assessment:
- Code included in the dataset
- Links:
pre-print (to be updated upon publication): doi:10.1101/2020.02.28.969170
- Technical remarks:
- View and download (324 MB, 130 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1542133):
rsync rsync://m1542133@dataserv.ub.tum.de/m1542133/ - Language:
- en
- Rights:
- by, http://creativecommons.org/licenses/by/4.0
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