Sentence examples for much shorter mutation from inspiring English sources

The majority of studies conducting mutation spectrum analysis use different and much shorter mutation reporter genes (cII, 294 bp; gpt, 456 bp; lacI, 1080 bp) because they are small enough to be sequenced using Sanger sequencing.

The estimated domestication timescales of all identified clades or subclades are much shorter when the mean mutation rate under the exponential growth model (19.3 % per million years) was adopted (see Additional file 3).

Narod et al (2008) have reported that PrCa survival in BRCA2 mutation carriers is much shorter (median survival from diagnosis was 4 years) when compared with BRCA1 carriers' survival (median survival from diagnosis was 8 years).

For unlinked sites, nonsynonymous mutations would have much shorter lifetimes to fixation than synonymous changes, given their substantial level of (positive or negative) selection inferred below.

Even if A1 and B2 are selected with positive values of s A and s B, the replacement time will not be much shorter because it primarily depends on the mutation rate (Li and Nei 1977).

These analyses showed the fixation of three non-synonymous mutations over the 35 years interval between nodes N1 (1934 [95% HPD: 1916 1950]) and N2 (1968 [95% HPD: 1957 1979]), while three other non-synonymous mutations were detected over the much shorter time interval between nodes N2 and N3 (1989 [95% HPD: 1983 1994]) (Fig. 4b and Supplementary Table S2).

Our data also confirmed that patients with unmutated IGHV genes had a distinctly more malignant disease and much shorter OS and TTFT than those with somatic mutations.

CRISPR also allows the creation of mouse models with specific gene mutations for research purposes within much shorter timeframes than existing methods.

This allows the detection of mutations that took place within a much shorter time scale than that which occurs between the naturally collected strains.

Due to CTCF's long, high information content motif, new CTCF-binding events are dramatically less likely to be generated by random mutations than binding events for TFs targeting much shorter motifs.

Both GVQ and GSAVQ use the linear scaling technique during the calculation of objective functions and use special crossover and mutation operations in order to obtain better codebooks in much shorter CPU time.