Predicting microbial growth

@article{Monk2014PredictingMG,
  title={Predicting microbial growth},
  author={Jonathan Monk and Bernhard O Palsson},
  journal={Science},
  year={2014},
  volume={344},
  pages={1448-1449}
}
Cellular functions result from biochemical interactions among thousands of components within the cell. The growing availability of annotated genome sequences and a plethora of biochemical data allow these interactions to be assembled on a genome scale for model microorganisms. This detailed biochemical information can be converted into a computational model—a genome-scale model, or GEM (1)—that allows phenotypic functions to be predicted. Both environmental and genetic parameters are explicitly… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 26 times over the past 90 days. VIEW TWEETS