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The KNL1 repeat thus serves as a unit that contains multiple motif slots.
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We use the same approach to adopt traditional promoter scanning to handle multiple motif models and report the smallest p-value over the multiple motif models.
When the same atom is identified for multiple motifs, supervised machine learning techniques such as K-nearest neighbors are used to remove duplicates and assign the atom to the correct motif.
Users can then choose multiple motifs of interest.
Multiple motifs can be provided, separated by commas.
Motif databases very often contain multiple motifs for the same TF, or very similar motifs for different TFs.
MEME identified multiple motifs within exon 3 in these organisms.
Consequently, biomolecules can contain multiple motifs [ 117, 118] (Table 2).
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The whole transmission process consists of multiple transmission slots.
In [19], PF was achieved over multiple time slots.
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