Sentence examples for mixture SNPs have from inspiring English sources

Approximately 90%% of these 617 AEI SNPs have absolute read ratios above 1.54, while 60%% of the 10,085 mixture SNPs have absolute read ratios below 1.54.

In the 10,085 SNPs mixture, 1,003 SNPs have absolute allelic ratio above 2.5, while 10 have absolute read ratios above 7. Detail information of the 9 AEI signal SNPs with the smallest ratio values and the 10 uncertain mixture SNPs with the largest ratio values are listed in Additional file 6: Table S3 and Additional file 7: Table S4 (see supporting information), respectively.

The applications of these SNPs have also been briefly summarized.

Traditional methods for the identification of SNPs have some drawbacks.

SNPs have been previously shown to be antimicrobial in nature.

This genomic selection methodology can be feasibly adapted for a GWA study and in the context of mixture models genomic regions and SNPs having high model frequency (i.e., frequently included in the model for GEBV prediction) can be identified as those likely linked to QTL [8], [13], [15].

Removing homoplasious SNPs has the potential to resolve the mixture into dominant and subdominant strains.

A total of 51,385 SNPs were jointly fitted using Bayesian techniques as random effects in a mixture model that assumed a known large proportion (99.5%) of SNPs had zero effect.

All the 26 confirmed SNPs had the expected nucleotide variations, while the remaining 18 SNPs were a mixture of the expected allelic variations and homoeologous sequences.

This structure allows simultaneous selection of important SNPs and soft clustering of SNPs having similar impact on the health outcome.

Mixture models such as Bayes B and Bayes C [ 41] assume that some fraction of the SNP have zero effect on the trait.