about
To be certain about the uncertainty: Bayesian statistics for 13 C metabolic flux analysis.Assessing glycolytic flux alterations resulting from genetic perturbations in E. coli using a biosensor.Dynamic Labeling Reveals Temporal Changes in Carbon Re-Allocation within the Central Metabolism of Developing Apple Fruit.
P2860
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Recent advances in high-throughput 13C-fluxomics.
@en
Recent advances in high-throughput 13C-fluxomics.
@nl
type
label
Recent advances in high-throughput 13C-fluxomics.
@en
Recent advances in high-throughput 13C-fluxomics.
@nl
prefLabel
Recent advances in high-throughput 13C-fluxomics.
@en
Recent advances in high-throughput 13C-fluxomics.
@nl
P2093
P1476
Recent advances in high-throughput 13C-fluxomics.
@en
P2093
Cécilia Bergès
Fabien Létisse
Stéphanie Heux
P304
P356
10.1016/J.COPBIO.2016.10.010
P577
2016-11-10T00:00:00Z