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Although the idea of compatible words is similar to that of k-mers in our algorithm, compatible words need to be full-length binding site sequences, while k-mers have a fixed length and are usually short (e.g. k = 4).
Specifically, MoSta measures the 'natural similarity' between two PFMs by calculating the asymptotic covariance between the sets of compatible words associated with the two PFMs compared.
In order to construct a compatible word set, a threshold value is needed to filter out 'non-compatibles' and only compatible words for each PFM are kept.
While enumerating all possible k-mer (e.g. 256 for 4-mer) is fast, searching through the sequence space to construct a compatible words set is time consuming, especially for TFBSs (PFMs) with relatively long lengths, explaining why MoSta is much slower than KFV (Table S1).
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Spot those compatible word endings.
Apple has recently released iWork '09, which currently consists of an MS Office-compatible word processor called Pages, a spreadsheet application called Numbers, and presentation software called Keynote.
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Following the same procedure, compatible task for words (words associated with faces of the same valence--[word positive/face positive] and [word negative/face negative]) were compared to incompatible tasks (words associated with faces of the opposite valence--[word negative/face positive] and [word positive/face negative]).
Select one of the template formats based on your needs: Word Template – This will create a template compatible with Word 2007, 2010, and 2013.
But Corel understands one thing perfectly: to survive, WordPerfect must be fully compatible with Word.
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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