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It is expected that the resolution should be finer with a smaller aberration influence.
Thus, the detection limits decrease with a combination of the following parameters; smaller aberration size (in bases), smaller aberration amplitude (copy number) and smaller tumour subclone representation.
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These compound lenses exhibit smaller aberrations than biaxial holographic lenses while maintaining high efficiency and a high signal-to-noise ratio.
As the genomic coverage, and thus number of reads, increases, the algorithm can detect increasingly smaller aberrations while maintaining very high specificity.
Another result is that the oligo aCGH reveal many more, smaller aberrations.
To overcome this problem, MLPA was used to potentially identify smaller aberrations.
Moreover the oligo platform outperforms the BAC technology for the detection of more, smaller aberrations.
However, these smaller aberrations were not significant, likely due to the whole arm aberrations that lead to a relatively flat permutational distribution using the cycle-shift permutation.
A better coverage of the genome allows for the identification of more numerous and smaller aberrations that cannot be detected with analytical tools of lower resolution.
An important example is the presence of local trends mimicking smaller aberrations; such low-amplitude "waves" in the data may e.g. be due to variations in GC-content (see, e.g., [ 9]).
Under the small aberration approximations, we give the analytical formula for characterizing the relationship between the sensor signal and the amplitude of the aberration mode.
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