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Your question could be phrased more specifically to avoid ambiguity, but rephrasing it the way that I suspect you mean it, ("Is there any evidence showing that [the rate of] copy number variation changes over time?"), then yes, there is indeed. The rate depends on many factors including which mechanism and which organism and which region of the organism's ...


Allelic imbalance is a pretty broad phenomenon difference in the expression of two alleles. As such you have listed would probably cause allelic imbalance, but it could be the result of methylation or even differences in RNA sequences between the alleles which say interfere with post translational splicing say. In the case of copy number variations, if a ...


A copy number variation (CNV) is when the number of copies of a particular gene varies from one individual to the next. From: the NIH Glossary Focal CNVs are regions of repeated genetic information that only span a small proportion (<25%) of the chromosome arm (although this does not seem to be a consistent rule), and can contain few genes. ...


I'd take that computational angle and run the sequence data through tRNAscan-SE (Lowe & Eddy, Nucl Acids Res 25: 955-964). Ideally, you'd install this locally. This tool is what the UCSC folks use and it has been the best known, most widely used tRNA predictor for years. It's what we all used on Arabidopsis thaliana genome annotation back in the late ...


A database that answers the question, charting telomere repeat sequences for all known species, is: http://telomerase.asu.edu/sequences_telomere.html For example in Yeast:


TTAGG telomeric repeats have been found in several insects. From Sahara, Marek & Traut (1): (TTAGG)n-containing telomeres were found in three Lepidoptera species, the silkworm Bombyx mori (in which the telomeric sequence was recently discovered), the flour moth Ephestia kuehniella, and the wax moth Galleria mellonella, in one species of ...


I would use an RNA microarray to look at those difference instead of sequencing. To delicately amplify your tRNAs in an unbiased manner would be a tricky molecular biology endeavor. I wouldn't be surprised if there were detectable and significant differences. Those experiments will be able to confirm your hypotheses regarding codon usage bias.

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