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The transition from a static mode to a blending under shear has also revealed the existence of a distribution of conversion among the epoxy-rich domains, caused by the competition between the continual nucleation process of the epoxy droplets and their growth.
In particular, it will soon be possible to provide a genomic annotation of gene conversion rates and characterize the distribution of conversion tract lengths.
This analysis was used to examine spontaneous and UV-induced recombination events in the exo1 diploid, allowing us to define the location of recombination events, the types of gene conversion tracts, and the length distribution of conversion events.
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The effect of non-uniform solid reactant distribution on conversion of solid particles in gas-solid reactions is analyzed based on the volume reaction model.
Whilst most theoretical considerations of gene conversion models have focused on a geometric distribution of gene conversion length derived from studies in Drosophila [ 19, 20], the only empirical evidence for gene conversion between paralogous sequences to date does not fit this model [ 12].
Third, methods for detecting signatures of natural selection usually require estimates of fine-scale recombination rates (see, e.g. Voight et al. 2006), and their success may hinge on having reliable estimates of crossover and gene conversion rates, as well as the distribution of the conversion tract length.
Numerical examples using the Gates-Gaudin-Schuhmann form for cumulative weight distribution demonstrate a significant effect of the particle size distribution on conversion.
The distribution of gene conversion events differs between species, suggesting that different levels of gene conversion occur in each species.
Figure 3 shows the distribution of activity conversion factors calculated using a 99mTc source scanned on the Philips Precedence SPECT/CT gamma camera.
The paper highlights the application of one-dimensional chemical shift imaging and volume selective magnetic resonance spectroscopy techniques to measure directly and quantitatively the spatial distribution of chemical conversion within a fixed-bed of catalyst particles.
To determine the distribution of gene conversion across the genome, we mapped the converted genes to chromosomes (Table 2).
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