Sentence examples for more sequence similarity from inspiring English sources

In contrast, dE2F1-Dm shares more sequence similarity with E2F1, E2F2, E2F3 than with E2F4, E2F5.

The redundancy of unannotated transcripts was assessed by clustering transcripts based on 90% or more sequence similarity.

In the further analysis (such as Blast), we found that dE2F2-Dm, EFL-1-Ce share more sequence similarity with mammalian E2F4, E2F5 than with E2F1, E2F2, E2F3.

For example, Stackebrandt & Goebel proposed that two strains belong to a species if they share 97% or more sequence similarity in their 16S rRNA genes [ 84].

Interestingly, the canonical Otx genes share more sequence similarity with ARGFX than they do with DPRX and TPRX1 which are located close to CRX chromosomally.

Third, E2F4 and E2F5 share more sequence similarity with the predicted E2F ancestral sequence than E2F1, E2F2 and E2F3; E2F4 and E2F5 also possess lower evolutionary rates and higher purification selection pressures than E2F1, E2F2 and E2F3.

Discontinuous MegaBLAST is claimed to be able to identify more divergent sequence similarity than BLAST.

This shows that the machine learning approaches presented in this article use more than sequence similarity to make better predictions.

However, clustering methods are prone to fail when the barcoding gap is not present because sequences cannot be told apart any more via sequence similarity alone.

CanPIs showing more aa sequence similarity associated close to each other for e.g. CanPI-8, -10 and −11, CanPI-37, -40 and −41, CanPI-13, -16 and −34.

The large gaps remaining with this conservative mapping algorithm already shows that the reference is distant enough from the community to require a more relaxed sequence similarity search.