Sentence examples for matrix of genomic from inspiring English sources

A mixture of 16S rDNA was amplified on a matrix of genomic DNA.

This matrix of genomic kinship was converted to a distance matrix that was used to carry out classical multidimensional scaling analysis.

In addition, as suggested by [ 29], a principal components analysis (PCA) of the matrix of genomic relationships was conducted for a preliminary analysis of the genotypes, since PCA can help to investigate ethnic background of individuals [ 30].

He argued that this approach would be easier to extend and simpler than developing an appropriate method of adjusting the matrix of genomic relationships of genotyped animals across breeds.

To investigate any population stratification that may be present in the population, a matrix of genomic kinship was generated from all pairs of 194 individuals in the population that passed quality control filtering using genotypes of all filtered tag SNPs.

The inverse of G −, which can be used to compute G-BLUP (see Equation 4), has a relatively simple form (Aguilar et al. 2010; Christensen and Lund 2010); however, computing G − − 1 requires inverting the matrix of genomic relationships of individuals with genotypes that may be singular.

Data matrices of genomic abundance (g; see Methods) and genomic occurrence (presence/absence) of FFs for all possible pairs of FFs and proteomes were generated from the census.

Furthermore, covariance matrices of genomic dominance effects among individuals can be calculated, similar to matrices of genomic additive relationships, which are widely used in genomic selection, such that dominance effects can be estimated in a GBLUP (genomic best linear unbiased prediction) model [ 11, 12].

Obtaining SS-BLUP, however, requires computing the inverse of the dense matrix G of genomic relationships, which will become infeasible as the number of genotyped animals increases.

In SSBV-BLUP, the SNP data are used to construct the matrix G of genomic relationships for the genotyped individuals [ 6, 8, 22].

Conceptually, the amount of phenotypic variance, or covariance, explained by genetic factors is estimated by a comparison of a matrix of pairwise genomic similarity to a matrix of pairwise phenotypic similarity (Yang et al. 2010).