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One example alignment and predicted precursor position is shown in Figure 2A.
For example, alignment of the putative helix-turn-helix motifs [35], [37] shows that the turn (GVT) is absolutely conserved in all of the repressors (Fig. 6B), as well as glutamine, valine, and tryptophan residues at positions 2, 4, and 6 respectively in the recognition helix (the second of the helix-turn-helix pair), and the YGG motif immediately following it (Fig. 6B).
For example, alignment of the E2 glycoprotein sequences from YN87448 and XJ-160 revealed identical sequences at the first heparin-binding domains, but differences at the other domain where the two positively chargedd aa (His and Arg at 146 and 149, respectively) of SINV YN87448 are changed to two neutral amino acids in SINLV XJ-160 (Fig. 5).
See Fig. 4 for an example alignment of different LAT protein sequences highlighting the important motif residues.
An example alignment of a conserved microsatellite is shown together with the phylogeny used in our analysis (fig. 1).
For example, alignment of transcript I displayed six exons and five introns, which is identical to the gene structure predicted by the EST evidence.
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Additionally, we applied the Shimodaira-Hasegawa toseveralexampleexalignmentsnmento to determine whether or not the improvement in goodness-of-fit was influenced by sampling variability.
For example, alignments containing sequences with different lengths and alignments that contained multiple indels that caused incorrect alignments were reviewed and edited as detailed in [ 18].
Example alignments of intron gains, losses, and alignments that required the outlier A. gam can be found in Additional file 1, Figures S5-S9.
As an example, alignments of barley CLS-F6 (GenBank:EU267181) and the oat homologue (GenBank:GQ379900) with dnOST revealed homology to five isoforms (Additional file 14).
Example alignments of alternatively spliced ESTs are shown in additional file 4. With this method 529 potential alternatively spliced messages were constructed comprising 9%% of all clusters.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com