In sharp contrast, lentiviral insertions catalyzed by the SB100X transposase are far more random with respect to genes.
An alternative methodology (length-conditional) assumes each age sample taken is random with respect to that length.
Deflections, structural deteriorations, floor vibrations and other serviceability criteria are naturally random with respect to their magnitudes.
Mutation is random with respect to fitness.
While the mutation may be random with respect to whether it improves or reduces the fit to the environment, it is not random with respect to which traits it affects.
So if we consider a genotype that influences height, mating will not be random with respect to this genotype (see section 3.5 'Non-Random Mating').
But mating is not random with respect to height; on the contrary, people tend to choose mates similar in height to themselves.
One way of thinking about this result is that random sequences are those non-computable sequences that are random with respect to a computable measure, for those sequences are in some sense equivalent to the sequences that are random with respect to the Lebesgue measure.
This variation originated, often many generations ago, as mutations changes in the genetic information that are random with respect to the needs of the organism.
Primarily for this reason, many population-genetic models assume that Hardy-Weinberg equilibrium obtains; as we have seen, this is tantamount to assuming that mating is random with respect to genotype.
In the human population, for example, mating is close to random with respect to ABO blood group, so the genotype that determines blood group is found in approximately Hardy-Weinberg proportions in many populations (Hartl 1980).
