Sentence examples for genomic random from inspiring English sources

A simulation study was conducted to evaluate the performance of genomic random regression models for the continuous environmental descriptor temperature-humidity index (THI).

The allele-specific gene-tagged markers for the target genes are more effective than the genomic random markers surrounding the target gene (from several kb to a few Mb distance) because some markers will not show polymorphism in some recipient backgrounds and sometimes a false-positive allele can be selected by recombination between the target gene and the genomic random marker.

From a practical perspective, genomic random regression models can be used to predict genomic breeding values for scarce phenotypes (e.g., novel traits) traits measured in extreme environments, or traits measured late in life, such as longevity.

A single set of SNPs was used for all analyses of the genomic random p set.

Notwithstanding, it allows to study phenotypes without the problematic issue of genomic random integration, which may perturb the sequence of relevant genes as those implicated in processes regulating pluripotency/differentiation/metabolism.

As a consequence, if the separation mentioned above is not carried out, then it is sometimes easy to distinguish genomic from random sequences and sometimes not, a situation that has confounded many previous studies.

It has long been thought that cell lines contained substantial amounts of genomic noise – random, biologically insignificant copy number alterations considered a reflection of the inherent genomic instability of human cancers.

According to the original sequences used for development of SSRs, SSRs were divided in two categories: genomic-SSRs, identified from random genomic sequences, and expressed sequence tag (EST -SSRs, idEST -SSRsfrom transcridentifiedequences.

The same procedure was repeated 100 times on random genomic regions with same size of the genomic regions tested.

Of these, 1000 involve a single random genomic location, and 500 combine fragments from two different genomic locations.

In each round, we generated a number of random genomic regions, equivalent in number and extension to the considered genomic regions of the MEGs or VAL genes.