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Microarray analysis methods produce large sets of gene expression data that can be exploited for novel insights into the fundamentals of molecular biology research.
SSR markers developed from transcriptome data are cheaper when compared with traditional isolation of genomic DNA-derived SSRs, because large-scale transcriptome sequencing programs based on NGS methods produce large amounts of sequence data.
MPS methods produce large volumes of sequence data at extremely low cost relative to Sanger sequencing, and over the past decade the technologies themselves, as well as their applications, have evolved quickly.
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Overall, the de novo methods produced large numbers of misassemblies.
Experimentally, novel methods producing larger insert sizes have also been reported [ 17, 18].
The method produces large quantities of carbon nanotubes with monodisperse, hollow, open ends.
If a non-negligible proportion of nests are missed, the marked recount method produces large overestimates of the population size, particularly if the probability of missing a nest on a subsequent survey is independent of the probability of missing it in the first survey.
The LAMP method produces large amounts of pyrophosphate, a by-product of DNA amplification, which can easily be detected by monitoring turbidity or fluorescence [ 13– 15].
Interestingly, both methods give similar results for pangenome, but they significantly differ on the core genome, with the latter method producing larger result.
TSP/HEPA produced larger reductions on window sills (28%; 95% CI, 18-37%) and larger reductions on window troughs (2%; 95% CI, -24 to 23%), whereas the non-TSP/non-HEPA method produced larger reductions on hard floors (13%; 95% CI, -5 to 34%).
Developing methods to produce large size GO with layered structure is the key for these applications.
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