Elementary vectors and autocatalytic sets for resource allocation in next-generation models of cellular growth

Stefan Müller; Diana Szeliova; Juergen Zanghellini

doi:10.1371/journal.pcbi.1009843

Elementary vectors and autocatalytic sets for resource allocation in next-generation models of cellular growth

Stefan Müller (Korresp. Autor*in), Diana Szeliova, Juergen Zanghellini (Korresp. Autor*in)

Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

Originalsprache	Englisch
Aufsatznummer	e1009843
Seitenumfang	28
Fachzeitschrift	PLoS Computational Biology
Jahrgang	18
Ausgabenummer	2
DOIs	https://doi.org/10.1371/journal.pcbi.1009843
Publikationsstatus	Veröffentlicht - Feb. 2022

ÖFOS 2012

106005 Bioinformatik
104004 Chemische Biologie

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10.1371/journal.pcbi.1009843Lizenz: CC BY 4.0

https://phaidra.univie.ac.at/o:1655516Lizenz: CC BY 4.0

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Elementary vectors and autocatalytic sets for resource allocation in next-generation models of cellular growth

ÖFOS 2012

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