Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
We believe that substructure modeling is a promising approach for large pedigree analysis, especially when specific types of pedigree are of interest.
Similar(59)
Although a combination of alphanumeric animal identification codes were allowed, the time required to initially read pedigrees and, therefore, total run time was significantly decreased (P < 0.001) for large pedigrees when identification codes were strictly numeric for all animals.
Furthermore, such methods bypass the need for large pedigrees.
We use the iterative algorithm proposed by Thallman et al. for large pedigrees [ 28, 29].
For large pedigrees, this becomes very fast computationally infeasible and the gain is questionable.
It makes routine simulation of sequence data for large pedigrees possible.
The manuscript shows a computational approach that enABELs the use of linear mixed mixed models for large pedigrees, large numbers of markers and large numbers of (omics) traits.
Although small in scale and limited to one large pedigree, our analysis of CNVs in the Old Order Amish pedigree represents the first high resolution genome-wide survey of CNVs in BPD.
While our method currently has scaling limitations for larger pedigrees, we are developing extensions for LOCate that make use of variable elimination to make the method available for multimarker analysis as well as the analysis of arbitrarily sized linkage studies.
Five were used both in the mapping and the pedigree analyses, whereas marker PScontig944 was only used for pedigree analysis.
A total of 102 control subjects were recruited from UNC for comparison of quantitative pedigree analysis.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com