Ordering Genes in a Flagella Pathway by Analysis of Expression Kinetics from Living Bacteria

@article{Kalir2001OrderingGI,
  title={Ordering Genes in a Flagella Pathway by Analysis of Expression Kinetics from Living Bacteria},
  author={Shiraz Kalir and JoAnn McClure and Kanti Pabbaraju and Carolyn M Southward and Michal Ronen and Stanislas Leibler and Michael G. Surette and Uri Alon},
  journal={Science},
  year={2001},
  volume={292},
  pages={2080 - 2083}
}
The recent advances in large-scale monitoring of gene expression raise the challenge of mapping systems on the basis of kinetic expression data in living cells. To address this, we measured promoter activity in the flagellar system of Escherichia coli at high accuracy and temporal resolution by means of reporter plasmids. The genes in the pathway were ordered by analysis algorithms without dependence on mutant strains. The observed temporal program of transcription was much more detailed than… 

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References

SHOWING 1-10 OF 26 REFERENCES
… genetics …
TLDR
A possible genetic aetiology to CSVT, provides reliable risk estimates and allows accurate comparison with genetic risk in other vascular conditions is supported.
Biochemistry
The Department of Biochemistry is internationally recognized for its research and education and offers a world-class interdisciplinary research environment in a beautiful mountain setting. As part of
Pattern classification and scene analysis
  • R. Duda, P. Hart
  • Computer Science, Mathematics
    A Wiley-Interscience publication
  • 1973
TLDR
The topics treated include Bayesian decision theory, supervised and unsupervised learning, nonparametric techniques, discriminant analysis, clustering, preprosessing of pictorial data, spatial filtering, shape description techniques, perspective transformations, projective invariants, linguistic procedures, and artificial intelligence techniques for scene analysis.
Proc
  • Natl. Acad. Sci. U.S.A. 95,
  • 1486
Curr. Biol
  • Curr. Biol
  • 2000
Microbiol. Mol. Biol. Rev
  • Microbiol. Mol. Biol. Rev
  • 2000
Nature Biotechnol
  • Nature Biotechnol
  • 2000
Plant Mol. Biol
  • Plant Mol. Biol
  • 2000
Trends Genet
  • Trends Genet
  • 2000
J. Lipid Res
  • J. Lipid Res
  • 1999
...
1
2
3
...