Jun 7, 2017 ˇ We propose a hierarchical stochastic modeling approach to characterize an in silico repressor gate based on neomycin- and tetracycline-sensitive riboswitches.
We propose a hierarchical stochastic modeling approach to characterize an in silico repressor gate based on neomycin- and tetracycline-sensitive riboswitches.
The model was calibrated on rich, transient in vivo single-cell data to account for cell-to-cell variability. To capture the effect of this variability on gate ...
A hierarchical stochastic modeling approach is proposed to characterize an in silico repressor gate based on neomycin- and tetracycline-sensitive ...
The model was calibrated on rich, transient in vivo single-cell data to account for cell-to-cell variability. To capture the effect of this variability on gate ...
ROC'n'Ribo: Characterizing a riboswitching expression system by modeling single-cell data. In: ACS Synthetic Biology, (7) Artikel, Bibliographie. URL / URN ...
ROC'n'Ribo: Characterizing a riboswitching expression system by modeling single-cell data. ACS Synth Biol 6(7):1211-1224. doi: 10.1021/acssynbio.6b00322 ...
Apr 8, 2019 ˇ ROC'n'Ribo: Characterizing a riboswitching expression system by modeling Single-Cell data. ACS Synth. Biol. 2017; 6:1211–1224. [PubMed] ...
ROC'n'Ribo: Characterizing a Riboswitching Expression System by Modeling Single-Cell Data. ACS Synth. Biol. 6, 7 (Jul), 1211-1224. C. Schneider. ,. L ...
Schneider, ROC'n'Ribo: Characterizing a riboswitching expression system by modeling Single-Cell data, ACS Synth. Biol., № 6, с. 1211 https://doi.org/10.1021 ...