Sentence examples for bull data from inspiring English sources

The cow and bull data sets were combined within breed and GWAS performed.

Furthermore, predictive abilities of the ANN models in the bull data sets were slightly better when using the U D matrix than when using G as inputs to the network.

For the Holstein-Friesian bull data set, an ANN with 10 neurons in the hidden layer achieved a predictive correlation of r=0.47 for milk yield when the entire marker matrix was used.

The highest average correlations between observed and predicted phenotypes in the testing sets were obtained with the German Fleckvieh data set, followed by the prediction of DYD in the Holstein-Friesian bull data set.

However, 77 positions had an inconsistent call between the two data sets; particularly 76 were called as indels in our data but were called as a SNP in the 1000 bulls data (Table  6).

The objective of this study, therefore, was to develop a model to perform genomic predictions and genome-wide association studies based on a combined cow and bull reference data set, with the accuracy of the phenotypes differing between the cow and bull genomic selection reference populations.

A substantial number of the putative deleterious LoF variants had a minor allele frequency >0.05 in the 1000 bull genomes data set.

Frozen semen samples and bull fertility data (see additional file 2) from six mature and progeny tested Holstein bulls with satisfactory semen quality were provided by Alta Genetics (Watertown, WI).

More than 60%% of the concordantly called LoF SNPs while less than 40%% of the frame-shift indels were observed to have a minor allele frequency >0.05 in the 1000 bull genomes data set.

We report the integration of the whole genome sequence of a single Holstein Friesian bull with data from single nucleotide polymorphism (SNP) and comparative genomic hybridization (CGH) array technologies to determine a comprehensive spectrum of genomic variation.

The minor allele frequency (MAF) distribution of the 268 concordantly called LoF variants (Fig.  4) using the 1000 bull genome data set show that MAF is >0.05 for more than 60%% of the stop-gain SNPs and splice site variants while less than 40%% of the frame-shift indels show a MAF >0.05.