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Suppose the "true" alignment aligns only the first three symbols (i.e., AAA) of x and y, hence the last three symbols in the respective sequences are regarded as insertions that do not have any matching counterpart in the other sequence.
A useful analogy may be a multiple sequence alignment: a sequence alignment aligns equivalent residues in different sequences and highlights regions with similar (conserved) residues, whereas the genome alignment in Figure 5 aligns equivalent genes in different genomes and highlights regions with similar (conserved) gene order.
Based on this input, MAPGAPS identifies those database sequences with a significant match to at least one of the profiles, optimally aligns each matching sequence to its highest-scoring profile and, based on the template alignment, aligns all of the sequences to the ELK structural core.
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A repeated-measures, mixed-factor 2 (congruency: congruent, incongruent) × 2 (alignment: aligned, misaligned) × 2 (expertise: expert, novice) analysis of variance (ANOVA) was performed for experiment 1.
The repeated-measures, mixed-factor 2 (congruency: congruent, incongruent) × 2 (alignment: aligned, misaligned) × 2 (expertise: expert, novice) ANOVA confirmed this result.
There were 20 trials for each combination of cued half (top or bottom), trial type (match or non-match), side congruency (congruent or incongruent), and alignment (aligned or misaligned), resulting in 320 trials total.
The factors were priming level (global, local) × alignment (aligned, misaligned) × congruency (congruent, incongruent).
However, upon closer inspection several positions with charged residues (highlighted red in the above alignment) align to hydrophobic residues (yellow).
To improve the quality of the alignments we used multiple sequence alignment instead of pairwise alignment, aligning the sequences in 21,969 groups of 40 sequences.
A pure structure-based search using our code found no significant hit and explicitly calculating an alignment aligned 90 residues (2 single gaps) but with a root mean square difference calculated at C α atoms of 16.5 Å.
From the end of the ungapped alignment, align 25mer windows of both s and using the Needleman Wunsch (Needleman and Wunsch, 1970) algorithm with BLOSUM62 as a cost matrix.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com