Sentence examples for mean mismatch from inspiring English sources

The mean mismatch between the centers of adjacent through holes was 64 ± 7.7 μm, significantly reducing the dead volume necessary to accommodate manufacturing variation.

The mean mismatch load of all the 29 bp sequences of every uptake and non-uptake fragment is similar, whereas their mean strength is lower in the uptake than the non-uptake fragments.

Furthermore, neither the mean mismatch load of all the 29 bp sequences of a DNA fragment, their mean strength, the position of the strongest one in the fragment, nor its orientation have any significant effect on DNA uptake (Table 4).

Since the application of such estimates to a non-random sample has not been ascertained, we have restricted ourselves to analysis of the mean mismatch distribution for the HVS-I segment (16090 16365)[20], [20].

Selected motifs cause larger log-increments of δlogI = ±0.3 (see Figure 4) which are almost comparable in magnitude with the mean mismatch effect (see a). c) duplexes with tandem mismatches are more stable than double mismatches which are separated by at least one WC pairing (δlogI≈+0.1 and F≈1.25).

Nevertheless, one can observe that, in the overall sample composed of simulated and experimental mice, a final moderate agreement was reached regarding the performance of the image registration procedure (D coeff  = 0.448), with a mean mismatch of approximately 6 mm.

This means mismatches can occur, if, say, bees and the flowering plants they pollinate don't respond at the same rate.

Samples from Southeast Alaska showed strongly unimodal distributions with mean mismatches between 0.12 and 0.36 (Table S7, Fig. S3).

Western Pacific and northern Bering Sea samples [1, 2, 3] showed broad mismatch distributions with mean mismatches larger than 5.30 (Table S7, Fig. S1), whereas southeastern Bering Sea and western Gulf of Alaska samples showed ragged distributions with mean mismatches between 3.09 and 4.46 (Table S7, Fig. S2).

Patients randomized to either CNI arm were found to have similar baseline characteristics, including recipient male gender, white race, mean age, history of diabetes, delayed graft function, living donor and mean HLA mismatch (Table 1A).

The algorithm that we propose here can identify tandem duplications with a very low false positive rate and a very low mean breakpoint mismatch (approximately 15-20 bp), even in very noisy NGS datasets, without compromising sensitivity.