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We also strengthened this conclusion by examining RDI in combined dataset of the three populations and by examining other intron length intervals (Tables 1, 2).
The combined dataset of the three genetic markers comprised the sequences of three outgroup species, 38 Burkholderia species, five nodulating endophytes and the endophytes of 28 gousiekte-inducing plants.
The GTR+I+G model of evolution was used for the concatenated dataset of the three genes.
Therefore, on the same dataset of the three most frequent syllable types, we estimated rendition-to-rendition consistency of overall syllable shape by means of spectral cross-correlation.
Mapping and annotation steps in Blast2GO program resulted in providing GO IDs (Gene Ontology identifiers) to individual ESTs in each dataset of the three libraries (Additional file 1).
Because of the congruence of the gene trees, we ran a Bayesian analysis with a concatenated dataset of the three genes (Fig. 1).
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Various similarity indices (Table 2) showed higher beta diversity (i.e. lower similarity) between rare members of the community in the four quadrants, as opposed to the abundant fraction of the community, or the entire dataset of the four quadrants.
A final dendrogram of the composite dataset of the two RFLP experiments was calculated using the similarity by the average from experiments, and the UPGMA clustering method.
The complete microarray dataset of the two time points with functional annotations and the changes at expression level is summarized in Supplementary Table (Additional file 3).
Thus, we used one sequence per individual and a concatenated dataset of the four MLST genes (1635 bp) to identify Wolbachia superinfections.
We generated expansive antennal transcriptome datasets of the three insect species, employing a bioinformatics-based approach to identify Orco, ORs, GR, and IRs.
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