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One of the largest matches ever played of any form of billiards took place at Manhattan's Gilmore's Gardens in 1878.
Only the largest matches are kept, which become the output of the algorithm.
In the algorithm to be described, we will use this result to help find the largest matches.
This set of matches represents the largest matches possible in G that are constrained to have v i and v j as members.
However, if one only wishes to find the size of the largest matches in G along with just one of the matches (instead of all of them), then this modification is not necessary and faster performance can be obtained.
The original MMM algorithm iterates through all possible matches of size 3 in an exhaustive fashion, ordered by protein indices within A and B, with an early exit if the number of remaining proteins in the loop cannot exceed the size of the largest matches found so far.
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We used Peregrine with the following settings: case-insensitive, word-order sensitive and largest match.
Based on the largest match found, a numerical measure of the similarity between the two structures S(G1, G2) was calculated as (7).
The largest match so far.
In the CE-CL-CA Combined dataset, the NR database (13797, 38.43%) had the largest match (Table 2).
Finally, 28,139 genes were annotated, and the NT database had the largest match, followed by the NR and UniProt databases.
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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