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Matches are presented as one main match and a few secondary matches.
New Japan's staying power owes largely to the way its matches are presented.
During scanning, 136 trials from the four conditions (34 trials per condition, 50% matches) were presented randomly intermixed.
The characteristics of the matches are presented in a companion paper.
Representative accession numbers of the positive matches are presented in Additional files 6 and 7, along with brief details of the regions where the matches were located and statistical significance of the matches.
For each blast search performed, the characteristics of the matches are presented as different columns in the spreadsheet: 1) e-value, 2) best match, 3) score, 4) extent of the match, 5) length of best match, 6) % identity of the match, 7) % match length, 8) first residue of match, 9) first residue of sequence, 10) number of segments, and 11) orientation of output.
The architecture is discussed and a typical application for template matching is presented.
In [33], a classification-driven similarity matching is presented and evaluated for the biomedical image domain.
In this paper a method and corresponding hardware architecture for string matching is presented.
A new shape similarity measure that considers both whole shape and partial shape matching is presented.
A method to derive the optimal number of process mean shifts to meet desired levels of component matching is presented.
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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