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A second analysis using the largest regions possible, given the memory available, was also explored to see if results were dependent on the region size.
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We will apply the moment vector method on the detailed phylogenetic analysis using the large-scale genomic rearrangement data.
Because the phylogenetic relationship for the pelican, herons (egret), and ibis was not resolved by the analysis described above, we performed a genome-scale CR1 insertion analysis using the large-scale sequence data reported by Jarvis et al. (2014).
We also repeat the above analysis using the large domain-domain interaction network that includes the entire DOMINE database and the high-confidence part of the InterDom database, and we obtain similar results [Additional file 2: Supplemental Table S1].
While drug resistance patient tumor samples are needed to further validate the role of SMARCE1 in modulating drug responses, the regulation between SMARCE1 and EGFR signaling is likely hard-wired as suggested by our correlation analysis using the large number of lung patient tumors.
However, since this analysis used the largest sample of minorities with ALS to date, the finding is likely due to one, or a combination, of the behavioral, environmental, and genetic factors of ALS.
To our knowledge, this analysis uses the largest number of incident cases of ER-PR- malignancies, although future prospective studies with a greater number of ER-PR- cases are necessary to characterize the associations, which are of substantially smaller magnitude when compared to their HR-positive counterparts.
With the aim of disentangling these intriguing and controversial issues, we performed a meta-analysis using the largest number of relevant studies published up to now.
Because information on miRNA is regularly being updated, we are planning to performed more analysis using the latest microarray and a larger sample in the future.
We assessed the level of enrichment and depletion of TAVs in twelve classes that contained enough SNPs for analysis, using the results of large GWAS in dairy and beef cattle [ 29, 30].
To perform a deeper analysis of the GP63 phylogenomic data, we conducted a case analysis using the tree that retrieved the largest number of homologs across all species (seed "LbrM.31.2240") (Fig. 4).
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