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NJ representations with the two set of markers clearly shows an increase in inter-specific differentiation with the CHom marker set compared to the CHet set.
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The information content (IC) provides a measure of information that can be extracted from pedigree data using a particular marker set as compared to an infinitely dense set of markers with complete genotyping on the entire pedigree.
However, the availability of genetic tools, like a dense genome-wide SNP marker set, is still subordinate compared to other commonly used model organisms.
Additionally, we compared the utility of the new marker set to that of the previously-developed conserved marker set [ 21].
The resulting proportions were compared to those obtained using the complete marker set.
A series of prediction analyses was used to compare the relative usefulness of the full set of GWAS markers with a pathway-level set of markers and with a smaller carotenoid QTL-targeted marker set.
This "additional marker set" contained two more markers per chromosome than the original IM marker set.
It is likely that future avian genome sequencing projects will include species originating from different bird orders and so facilitate the creation of conserved microsatellite marker sets suitable for genotyping and comparing multiple species.
This is possibly due to the lack of some of the marker genes in the data sets compared, to the highly atypical way in which the parasite divides, i.e. schizogony [ 44], and to the evolutionary distance between P. falciparum and the model organisms in which the cell cycle has been studied in depth, i.e. animals and fungi [ 45].
The characteristics of the CAM and TG marker sets were then compared for these four species, in terms of the number of loci deviating from Hardy Weinberg equilibrium and the proportion possessing high null allele frequency estimates.
Then, the IncMSE values of each marker obtained from RF analysis on the original unpermuted metabolite data set was compared to this "null distribution" at 0.05 level of significance to determine significantly associated markers.
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