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In general, a ROP is difficult to analyze, particularly when there are correlations between sampling, location, and orientation of the objects.
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Differences in microsatellite genetic diversity estimates between sample locations and time periods were tested for significance using a Wilcoxon signed-rank test.
The degree of population subdivision between sample locations and temporal sampling periods was investigated using the Bayesian method of Pritchard et al. [44] and Falush et al. [45], implemented in the program Structure version 2.1.
We ran models using: (i) geographic distance between sample locations only; (ii) environmental variables only (topography, climate and vegetation); (iii) environmental variables and geographic distance between sample locations, and (iv) environmental variables, distance and riverine barrier layers ('complete barrier' layers and resistance surfaces).
Contingency tables were analyzed by using χ analysis to detect associations between seroconversion and species, sex, age, sampling location, and sampling date.
We used a matrix of pairwise genetic distance (linearized FST) between sampling locations.
Studies have reported that the determinants of endotoxin differed between locations sampled in the home [ 10, 33] suggesting that the endotoxin types could differ between sampling locations.
In the current study, the inability of STRUCTURE to confidently assign individuals to any cluster with certainty may reflect the lack of power to do so due to the low genetic differentiation (i.e. Fst) between sampling locations.
Estimates of genetic differentiation based on pairwise FST and Dest values were also obtained to further investigate the overall stability between sampling locations and temporal sampling periods.
Generic E. coli concentration (MPN/100 mL) increased by 60.1% for each 1 m/s increase in wind speed and decreased by 3% for each 10 m increase in the distance between the sample location and rangeland.
A tally of overlaps (migrations) was determined between each sampled location and counts were normalized based on metagenome sizes.
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