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Our experience with the toeprinting method leads us to take great care not to use toeprinting as a quantitative assay of the amount of ribosome binding, given the nature of the assay (not at equilibrium conditions, detected indirectly by reverse transcription, etc).
We show how the proposed method leads us to new findings.
The images also "provide a gateway to increase scientific understanding, by clarifying how nature behaves and how the scientific method leads us to develop models of this behavior and then subject these models to rigorous tests" (National Research Council Astronomy and Astrophysics Survey Committee 2000).
This method leads us to view the metabolism of microorganism in a new perspective.
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The necessity to comply with the thin-sheet approximation and limitations of the MCMC method led us to use blocks with relatively large horizontal dimensions.
The analysis of three PD datasets using rank based scoring method led us to the identification of 59 putative target genes from the overlap of 1528 genes from GWL, 2882 genes from GWA and 2923 genes from GWE which could have significant association with PD development and progression.
The reduced signal detected in buccal versus blood samples with the WT amplification method led us to hypothesize that a 3'-specific amplification would increase the sensitivity of expression assays by increasing the specificity of the reverse transcription step for mRNAs.
The bound of the trajectory given by the proposed methods leads us easily to judge the finite-time stability of the closed-loop switched systems.
Our experiences of working with a large sample of papers using multiple methods led us to refine and respecify some of the concepts and techniques of meta-ethnography in order to enable synthesis of a very large and methodologically diverse literature.
The lack of SNP genotypes on all the individuals who are genotyped for HLA loci (see supplementary methods) led us to adopt a method that uses HLA loci as proxies in the association analysis in order to impute the missing SNPs.
Theoretical predictions using both transfer matrix and finite difference methods lead us to expect a value closer to 800, which is over a factor of two larger than the highest value found experimentally.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com