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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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