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The validation was performed using standard Sanger sequencing methods and analyzed on an AB 3730 DNA Analyzer (Applied Biosystems).
Cells were stained by standard methods and analyzed using an LSR BD FACScan analyzer and CellQuest software (Becton Dickinson).
E.F.G. developed the class I and IIb biochemical methods and analyzed data.
The resulting system of transient nonlinear equations is solved by backward Euler and Newton Raphson methods, and analyzed under balanced, unbalanced and short circuit conditions.
When we used their methods and analyzed the data using GCF, we again found that GCF yielded an excellent approximation for small values of α (Table 1), even when λ is inflated substantially by large sample size or geographically distinct prevalences.
In summary, we have integrated disparate data types from genome-scale experimental methods and analyzed them to describe how this system biology approach guided us to comprehensively understand the fundamental role of the OmpR regulon in response to osmotic stress in E. coli K-12 MG1655.
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We design a class of high order blob methods and analyze the errors.
For this purpose we propose three different methods and analyze their stability conditions.
We show that this problem is computationally hard, devise several heuristic methods and analyze their practical performance.
We developed a dedicated serial scheduling method and analyzed its dynamic behavior using discrete event simulation.
The specimens are modeled using nonlinear finite element method and analyzed under cyclic loading.
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