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All these complexities have been unravelled by sequence stratigraphic approach because variations in these factors are marked by sequence stratigraphic surfaces (such as parasequence boundaries, transgressive surface and maximum flooding surfaces (El-ghali et al. 2009).
These different results can be caused by the differences in the steepness of the thermal gradients or starting-point temperature, because variations in these factors affect the thermotaxis of well-fed animals (Ramot et al. 2008; Nakazato & Mochizuki 2009; Jurado et al. 2010; Beverly et al. 2011).
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These effects emerge because variations in the investigated parameters change the effectiveness with which the stronger individual in each dyad can be identified.
However, anonymous markers such as AFLP and SAMPL, have limitations in tagging genes controlling traits of interest via QTL and association mapping because variation in these markers may not represent functional genetic variation.
The calculation of pairwise PST was based on the external morphological measurements only because internal organ sizes contributed relatively little to among population differences and because variation in these traits was not assessed for any genetic component (Keeley et al. 2005, 2007).
There is considerable interest in these motifs because variations in gene expression play crucial roles in many biological functions and are also of importance in disease etiology.
Thus it is not surprising that none of the FFRPs are alike in all three respects, because variations in one or more of these three key properties has potentially given each a unique and physiologically relevant capability, such PQ-responsive regulation by AsnC and growth-specific regulation by VNG1237C.
Medical research using only a limited number of varieties can be misleading, because variation in the amounts and ratios of cannabinoids may have a significant impact on the outcomes of the studies.
This is important here because variation in the mutation rate causes differences in the level of within-subpopulation homozygosity between ms simulation models.
We chose this interval because variation in the %PNSP within this range is unlikely to influence public health decisions (12 ).
We designed additional primer pairs for two of the regions because variation in the primer sites in coyotes led to inefficient amplification.
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