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The WISH network based on genomic correlation was applied directly to real data.
In the WISH network based on genomic correlation, a total of 5219 SNPs and 75 animals from the Duroc*Göttingen Minipigs based on their estimated breeding values (EBVs) for carcass weight (25 high, 25 intermediate, and 25 low) were selected for network construction.
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Nevertheless, the KLC2 gene was not found in one of these modules, neither in the WISH based on genomic correlations nor in the WISH based on epistatic interaction.
However, the WISH network based on genomic correlations is created based on extreme phenotypes (EBVs).
From here on, the methods are comparable to the methods used in the WISH based on genomic correlations.
Both methods, WISH based on genomic correlations and WISH based on epistatic interactions, result in the construction of a scale-free network.
In the WISH based on genomic correlations the connectivity is measured over > 5000 SNPs and the most highly connected SNPs are concordantly selected for network construction.
The WISH method based on genomic correlations was tested using HTG data of an F2 pig resource population [ 26], with carcass weight as the trait of interest.
The WISH network method can be applied to HTG data using two different ways of detecting the interaction patterns between SNPs: 1) based on genomic correlations and 2) based on their epistatic interactions.
The same F2 pig resource population and carcass weight data used in the WISH based on genomic correlations were also used to perform the WISH network method based on epistatic interactions.
These findings helped in understanding the intraspecies (strains) diversity and/or similarity and its correlation with that of phylogenomic variations based on genomic contents.
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