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Thus sequencing technology should be improved to obtain more sequences with high quality.
Cross-BLASTn analysis showed that CF viromes shared more sequences with each other than Non-CF viromes.
When two or more sequences with the same TRF size occurred in the same GC bin, the abundances of these sequences were summed.
Although we observe that the native sequences are optimized in the sequence space, we find many more sequences with much lower energies in a different part of the sequence space as shown by curves 5 8 in Figures 2a b.
Using the most conserved regions enabled coverage of more sequences with fewer probes, and thus detection of more potential families on a single array, than simply tiling probes across each target sequence.
While single-protein investigations (e.g. building a small phylogeny or finding conserved sites) require only a modest number of sequences, determining the strength and significance of residue-residue couplings requires many more sequences, with a computational lower limit of 125 150 sequences [2].
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The results indicate that while more sequences were identified with a dominant signal at period-10 using the Hybrid metric during exploratory period estimation, ~30% more sequences were identified with nominally significant period-10 using embedded IPDFT during confirmatory analysis.
The t1 group includes 610 clusters with two or more sequences, and 225 clusters with only one sequence.
Sequence analysis revealed that the SSR-containing genes span a diversity of functions and share more sequence identity with strawberry genes than with other Rosaceous species.
In contrast, dE2F1-Dm shares more sequence similarity with E2F1, E2F2, E2F3 than with E2F4, E2F5.
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.
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