User: Guest  Login
Document type:
Forschungsdaten 
Responsible:
Marin-Sanguino, Alberto 
Authors:
Bromig, Lukas; Kremling, Andreas; Marin-Sanguino, Alberto 
Author affiliation:
TUM 
Publisher:
TUM 
Title:
Understanding biochemical design principles with ensembles of canonical non-linear models (data and code) 
Time of 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