Bayesian genome scale modelling identifies thermal determinants of yeast metabolism
Journal article, 2021
Author
Gang Li
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Yating Hu
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Jan Zrimec
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Hao Luo
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Hao Wang
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Wallenberg Lab.
Aleksej Zelezniak
Science for Life Laboratory (SciLifeLab)
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Boyang Ji
Technical University of Denmark (DTU)
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Jens B Nielsen
Technical University of Denmark (DTU)
BioInnovation Institute
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Nature Communications
2041-1723 (ISSN) 20411723 (eISSN)
Vol. 12 1 190Subject Categories
Pharmaceutical Sciences
Bioinformatics (Computational Biology)
Bioinformatics and Systems Biology
DOI
10.1038/s41467-020-20338-2
PubMed
33420025
Related datasets
Computed results for Bayesian genome scale modelling temperature effect on yeast metabolism [dataset]
DOI: 10.5281/zenodo.3686995