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The ability to compute the most likely width of a motif is therefore a highly desirable property for motif discovery algorithms.
We used the motif discovery MEME software [ 39] to verify the exclusive presence and the most likely width of the conserved motif we discovered in genes coding for ribosomal proteins (see below) and Weblogo [ 40] to produce a graphical view of the degree of conservation at every site.
We collected all genes that code for ribosome-associated proteins in P. tetraurelia (n = 472, on the basis of BLAST best hits against the UNIPROT database), and used the program MEME to screen their 3' UTRs, to verify both that the most likely width of the conserved motif in the ciliate is eight bases as in mammals and that these 3' UTRs contain no common motifs other than those we detected.
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Further tests were carried out in which the MCOIN heuristic was used to determine the most likely motif width from a range of plausible widths (±4 bp of the experimentally determined motif width).
The algorithm also incorporates MCOIN, an information-based heuristic to automatically determine the most likely motif width (Kilpatrick et al., 2013).
Further, algorithms based on stochastic variants of EM have so far not implemented features commonly found in other motif discovery algorithms, including the ability to automatically determine the most likely motif width from a range of plausible values.
The cushion is most likely to be misshapen in the width, so take 3 separate width measurements.
The lack of perfect agreement in the distribution widths is most likely due to the higher sensitivity of our method and the difference in the sample sizes measured.
Note that pre-formatted text will most likely have a different font and width than the regular text.
Most likely to: Sound sweet like chocolate.
An ideal algorithm would be executed over a range of reasonable candidate widths and return the most likely result based on some criterion.
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CEO of Professional Science Editing for Scientists @ prosciediting.com