Open AccessA genome-scale metabolic model of Cupriavidus necator H16 integrated with TraDIS and transcriptomic data reveals metabolic insights for biotechnological applications
Author(s) -
Nicole Pearcy,
Marco Garavaglia,
Thomas Millat,
James P. Gilbert,
Yoseb Song,
Hassan Hartman,
Craig Woods,
Claudio Tomi-Andrino,
Rajesh Reddy Bommareddy,
Byung-Kwan Cho,
David A. Fell,
Mark G. Poolman,
John R. King,
Klaus Winzer,
Jamie Twycross,
Nigel P. Minton
Publication year - 2022
Publication title -
plos computational biology/plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1010106
Subject(s) - cupriavidus necator , transcriptome , computational biology , biology , genome , scale (ratio) , genetics , bacteria , polyhydroxyalkanoates , gene , gene expression , physics , quantum mechanics