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PCR-based WGA methods produce relatively shorter products, non-specific amplification artefacts and incomplete genome coverage.
Relatively inexpensive NGS technologies can produce large quantities of sequencing data, but most NGS methods produce relatively short sequence fragments i.e. short read sequences (SRSs, shorter compared to Sanger reads).
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While MN-based method produces relatively high resolution of nucleosome mapping, both approaches have been widely used and produce consistent results as shown in the paper.
Our simulations show that this method produces relatively unbiased estimates when there is low baseline variability.
It was not surprising that Fryback's method produced relatively larger ICURs that implied the intervention was less cost effective, as Fryback's method had a much smaller range of scale relative to the other algorithms (Table 1).
Post-processing quarter resolution images had a significant impact on the output of those methods that produce relatively noisy disparities, e.g. MD's average error was reduced by 23%.
It has been proven that the citrate reduction method can produce relatively narrow size distributions of the Au nanoparticles.
A method to produce relatively high concentrations of intermediate components from isotope mixtures in a separation cascade with local extension of a working substance flow at its inner stages is demonstrated.
Secondly, the main advantage of LA method is to produce relatively low metallic impurities to CNT as compared with AD, since the metallic atoms involved have a tendency to evaporate from the end of the CNT once it is closed.
In particular, the bias of the proposed method was reduced consistently over the whole country, whilst the kriging methods trialled produced relatively large biases across the country leading to near overall zero bias.
Even worse, although all the other four methods have produced relatively large negative values of η B for a small rank m, VLLL tends to maintain all the same large positive values of η B as the original problems (compare panels D and F of Figure 11).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com