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Repeat sequences may attract some specific nuclear proteins, and the chromatin folding code dictates the DNA protein interactions, which may underlie the genetic function of the tandem repeats [58].
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While population genetic tools allow the identification of genomic regions that have been selected within a population, on their own, they do not explicitly reveal how genetic variation maps to phenotypic variation because the developmental genetic function of the identified variants may be unknown and/or the phenotype affected may not be obvious or predictable.
In recent years neuroscience has learned just enough about the fantastically complex chemical, electrical and genetic functions of the human brain to teach us how little we know about consciousness and how to alter it or expand it, and why some of us become enslaved by addictions while others go free.
To specifically examine the physiological and genetic functions of the type 1A receptor for angiotensin II, we have disrupted the mouse gene encoding this receptor in embryonic stem cells by gene targeting.
Although sgs1 mutants exhibit sensitivity to DNA damaging agents or replication inhibitors and display a shortened lifespan, the best known genetic function of sgs1 is to suppress the slow growth phenotype of a top3 mutant.
A third natural strategy for the spontaneous generation of genetic variants can also contribute to the emergence of novel genetic functions: the strategy of DNA acquisition by horizontal transfer of genetic information from a donor organism to a recipient organism.
The VAL-A biosynthetic pathway was proposed, with assignment of the required genetic functions confined to the sequenced region.
An alternative would be to develop auxotroph mutants that would maintain stability, as they offer a genetic function required for the survival of the mycobacteria in their host.
The genetic removal of the function of Drosophila Pink1 results in apoptotic muscle degeneration and a decrease in the brain dopamine levels as a consequence of the degeneration of dopaminergic neurons.
They used a feed-forward neural network as a classifier, and its outputs were averaged and considered as the performance function of the genetic algorithm.
This translational process is very dependent on the normal function of the genetic material in the particular cell that is used to synthesize the specific protein.
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