Sentence examples for random introductions from inspiring English sources

For each stochastic iteration of the global model, we use one stochastic realization of the DES model to generate random introductions of iVDPV into the general population after OPV cessation.

The study revealed many off-target effects (random introduction of mutations) and low efficiency levels for introduction of the corrective gene they were using.

This is somewhat contrary to expectations, as there is a slight difference in the chemical environment of Te1 and Te2 which gives Bi-Te1 bond a minor ionic component, favoring that Se would first preferentially replace Te2 sites [39], immediately followed by random introduction of Se at Te1 sites.

These errors arise mainly from imbalances in template representation and from random introduction of point mutations caused by copying errors.

We then simulated artificial selection experiments with our standard experimental parameters (N = 1000, 20%% selected, 20 generations) and canonical trait architectures, followed by the random introduction of errors based on the empirical error distributions.

The cytomegalovirus (CMV) promoter sequence-coding vector pCMV-F3-gfp-F was used for random introduction of the initial RMCE-competent cassette as described in Qiao et al. (2009).

Effect of mismatched oligonucleotides on HCV RNA levels was also studied by using S-ODN1 altered sequence after random introduction of a single nucleotide substitution which subsequently showed no effect on the potency of S-ODN1 to inhibit HCV replication, therefore, suggesting that S-ODN1 retains its high efficiency even after single base substitution.

Mader et al. (2013) reported a factor of three to 4-fold lower specific productivity of 2F5scFv-Fc-producing subclones compared with 3D6scFv-Fc cell clones established by random introduction of conventional plasmid expression vectors or alternatively by bacterial artificial chromosomes (BAC) harboring the same expression elements.

The random introduction of errors and missing data in key parameters in a large 'gold standard' dataset had little noticeable affect on population and mortality profiles, demonstrating a high level of robustness of DSS data and tolerable margins of error that may exceed 20%.

Changes among offspring is a result of either the random introduction of new genes (called mutations) or the reshuffling of existing genes during reproduction.

Even when there are no fitness costs and mating is random, the introduction of males 15 days after their emergence as adults cannot result in success of the EU approach.