Sentence examples for shared distinguishable from inspiring English sources

Exact(1)

Because this wide range of substrates lacks a shared, distinguishable feature that can be altered by glycosyl transfer, general assays for detection of glycosyltransferase activity have long been largely limited to low-throughput methods.

Similar(56)

Compared with the length of RNR genes (ranging from 200 3000 bp), it is likely that many of the RNR genes in these fragmented reads will be missed, partially predicted, or non-distinguishable because of shared sequence domains.

In our study 102 clearly distinguishable AFLP fingerprint peaks shared by all Senia, red rice and analysed PRF plants were obtained after revising AFLP data.

It is also possible that many of the apparently shared species may in fact be cryptic species or species that are distinguishable morphologically but lack apparent genetic differentiation.

Although the communities were clearly different, the ordination analysis did not group the samples by soil type or forests (fig. 5).This indicates that although there were very few species shared across serpentine and non-serpentine sites, the fungal communities are not statistically distinguishable.

The seven A. × cornutum ITS sequences consisting of clades R and C had a clearly distinguishable 13 base (CTGTAAACATACT) insertion in the ITS2 region, which is shared by both A. cepa and A. roylei but absent in A. pskemense (Additional file 1: Figure S1).

All staphylococcal type strains were distinguishable by rpoB; the only exception was the S. equorum subspecies that shared the same sequence.

The whole-genome comparison between 2010EL-1786 (an outbreak isolate from Haiti) (7 ) and TSY216 revealed that Ch1 and Ch2 shared nearly identical gene content and showed conserved synteny, but integrative and conjugative elements were distinguishable.

To address these issues, Dwork et al. proposed differential privacy [11], which utilized mathematical models to guarantee the statistical properties that the presence or absence of a user's data cannot be statistically distinguishable with arbitrary accuracy, even though malicious users knew the background information of the shared data.

All five clusters obtained by Geneland analysis were distinguishable, although a high amount of reticulation was evident, owing to the fact that common alleles per locus were shared among geographic regions.

The use of distinguishable nonproprietary names could also improve traceability in these medical and hospital benefit settings, where product identification is often homogenized to a shared nonproprietary name.

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