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The rapidly growing and gigantic body of stored data in the building field, coupled with the need for data analysis, has generated an urgent need for powerful tools that can extract hidden but useful knowledge of building performance improvement from large data sets.
Our transcriptome analysis has generated hypotheses about how the transitions to the different modes of energy and carbon metabolism are mediated at the level of gene expression.
Research aiming at solving the collinearity problem in age-period-cohort analysis has generated an extensive literature, and most approaches have tried to accommodate the collinearity problem within the scope of traditional regression analyses.
De novo transcriptome discovery and analysis has generated enormous information over horse gram genomics.
Microarray and quantitative PCR analysis has generated an expression profile for the Type I MADS-box genes in rice [ 9].
While our analysis has generated many MRESS and CNM SNP predictions for which no miR expression data are available, it is likely that as more miR expression and eQTL data become accessible, particularly for different cell types and specific conditions, many of these SNPs could be seen as functionally relevant.
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Although the whole plastid genome approach has enhanced our understanding of basal angiosperm relationships, issues of taxon sampling and methods of phylogenetic analysis have generated considerable controversy regarding the efficacy of this approach [ 13, 18- 23].
Recently, C labeling experiments followed by nuclear magnetic resonance (NMR) or mass spectrometry (MS) analysis have generated experimental data for a number of intracellular fluxes and metabolite concentrations [ 10].
Although including realistic and familiar scenarios can be deemed as one of the strengths of our analysis, it has generated some analytical problems, as outlined above.
The analysis presented here has generated potential molecular targets for evaluation as possible players in the causation or characterization of OC.
This conclusion is consistent with Hutchings' (1999) hypothesis and Olsen et al.'s (2004) supportive analysis that exploitation has generated evolutionary change in northern cod.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com