Bayesian genome scale modelling identifies thermal determinants of yeast metabolism

While temperature impacts the function of all cellular components, it’s hard to rule out how the temperature dependence of cell phenotypes emerged from the dependence of individual components. Here, the authors develop a Bayesian genome scale modelling approach to identify thermal determinants of ye...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Gang Li, Yating Hu, Jan Zrimec, Hao Luo, Hao Wang, Aleksej Zelezniak, Boyang Ji, Jens Nielsen
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Q
Acceso en línea:https://doaj.org/article/c4d8dc17c5b3409e95dfdd6fb1d4c551
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:c4d8dc17c5b3409e95dfdd6fb1d4c551
record_format dspace
spelling oai:doaj.org-article:c4d8dc17c5b3409e95dfdd6fb1d4c5512021-12-02T15:08:00ZBayesian genome scale modelling identifies thermal determinants of yeast metabolism10.1038/s41467-020-20338-22041-1723https://doaj.org/article/c4d8dc17c5b3409e95dfdd6fb1d4c5512021-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-20338-2https://doaj.org/toc/2041-1723While temperature impacts the function of all cellular components, it’s hard to rule out how the temperature dependence of cell phenotypes emerged from the dependence of individual components. Here, the authors develop a Bayesian genome scale modelling approach to identify thermal determinants of yeast metabolism.Gang LiYating HuJan ZrimecHao LuoHao WangAleksej ZelezniakBoyang JiJens NielsenNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Gang Li
Yating Hu
Jan Zrimec
Hao Luo
Hao Wang
Aleksej Zelezniak
Boyang Ji
Jens Nielsen
Bayesian genome scale modelling identifies thermal determinants of yeast metabolism
description While temperature impacts the function of all cellular components, it’s hard to rule out how the temperature dependence of cell phenotypes emerged from the dependence of individual components. Here, the authors develop a Bayesian genome scale modelling approach to identify thermal determinants of yeast metabolism.
format article
author Gang Li
Yating Hu
Jan Zrimec
Hao Luo
Hao Wang
Aleksej Zelezniak
Boyang Ji
Jens Nielsen
author_facet Gang Li
Yating Hu
Jan Zrimec
Hao Luo
Hao Wang
Aleksej Zelezniak
Boyang Ji
Jens Nielsen
author_sort Gang Li
title Bayesian genome scale modelling identifies thermal determinants of yeast metabolism
title_short Bayesian genome scale modelling identifies thermal determinants of yeast metabolism
title_full Bayesian genome scale modelling identifies thermal determinants of yeast metabolism
title_fullStr Bayesian genome scale modelling identifies thermal determinants of yeast metabolism
title_full_unstemmed Bayesian genome scale modelling identifies thermal determinants of yeast metabolism
title_sort bayesian genome scale modelling identifies thermal determinants of yeast metabolism
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/c4d8dc17c5b3409e95dfdd6fb1d4c551
work_keys_str_mv AT gangli bayesiangenomescalemodellingidentifiesthermaldeterminantsofyeastmetabolism
AT yatinghu bayesiangenomescalemodellingidentifiesthermaldeterminantsofyeastmetabolism
AT janzrimec bayesiangenomescalemodellingidentifiesthermaldeterminantsofyeastmetabolism
AT haoluo bayesiangenomescalemodellingidentifiesthermaldeterminantsofyeastmetabolism
AT haowang bayesiangenomescalemodellingidentifiesthermaldeterminantsofyeastmetabolism
AT aleksejzelezniak bayesiangenomescalemodellingidentifiesthermaldeterminantsofyeastmetabolism
AT boyangji bayesiangenomescalemodellingidentifiesthermaldeterminantsofyeastmetabolism
AT jensnielsen bayesiangenomescalemodellingidentifiesthermaldeterminantsofyeastmetabolism
_version_ 1718388347706015744