A genome-scale metabolic model of Cupriavidus necator H16 integrated with TraDIS and transcriptomic data reveals metabolic insights for biotechnological applications

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 Poolman, John R. King, Klaus Winzer, Jamie Twycross, Nigel P. Minton. A genome-scale metabolic model of Cupriavidus necator H16 integrated with TraDIS and transcriptomic data reveals metabolic insights for biotechnological applications. PLoS Computational Biology, 18(5), 2022. [doi]

@article{PearcyGMGSHWTBC22,
  title = {A genome-scale metabolic model of Cupriavidus necator H16 integrated with TraDIS and transcriptomic data reveals metabolic insights for biotechnological applications},
  author = {Nicole Pearcy and Marco Garavaglia and Thomas Millat and James P. Gilbert and Yoseb Song and Hassan Hartman and Craig Woods and Claudio Tomi-Andrino and Rajesh Reddy Bommareddy and Byung-Kwan Cho and David A. Fell and Mark Poolman and John R. King and Klaus Winzer and Jamie Twycross and Nigel P. Minton},
  year = {2022},
  doi = {10.1371/journal.pcbi.1010106},
  url = {https://doi.org/10.1371/journal.pcbi.1010106},
  researchr = {https://researchr.org/publication/PearcyGMGSHWTBC22},
  cites = {0},
  citedby = {0},
  journal = {PLoS Computational Biology},
  volume = {18},
  number = {5},
}