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We selected three alignment algorithms Muscle, Align2D and ClustalW to align the target sequence [lamprey ER] and the human ERα template [1G50].
Additionally, an statistical ANOVA test is performed to study the relevance of these scores considering three alignment factors.
In Figure 23 the Venus dataset is shown for three alignment stages: (a) is the initial image condition for the dataset; (b) shows the alignment obtained after executing our multi-view pipeline; (c) represents the dataset after executing our global optimization method [32].
Subsequent analyses were performed using the subset confirmed by three alignment methods.
We then applied the three alignment strategies to our NPC sequencing data.
Three alignment points make contact with ball-tipped, high-precision adjustment screws (Newport AJS127-0.5H) in the optical system.
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The three alignments were analyzed with MrBayes 3.1.
We concatenated all alignment blocks for each dataset and used the resulting three alignments as input for SplitsTree.
Further, the topologies from three alignments including different outgroups are congruent, and thus only one is shown here (Fig. 3).
We attribute this smaller gain in classification performance to the short protein sequences in Dataset III, which pose a greater challenge to the three alignment-free similarity measures examined in this study.
Three alignment-based methods were used to compare the 5′-flanking regions of AtINO, BoINO and the two BrINO genes to identify conservation profiles in the putative INO promoters.
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