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A biologically relevant motif should have a distribution that is peaked around the center of the region; conversely, the spatial distribution for a less relevant motif will typically be flatter.
The same set of upstream sequences was analyzed using another Gibbs-sampler, MEME, with the intent of converging upon a biologically relevant motif using multiple algorithms.
For these reasons, we prefer to use the default uniform prior and use our post processing tools to detect biologically relevant motif combinations.
We compare the performance of our approach to previously described methods for motif and module discovery, and show that the pipeline supports detecting biologically relevant motif modules that are not easily discovered by other methods.
In any case, the shortcuts introduced in this article show that efficient exact motif discovery is now possible for fairly large and biologically relevant motif spaces.
The relevant motif occurs in many 'neuronal' genes and NRSE has been identified close to the transcriptional start site of the vasopressin promoter.
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When used jointly with the SW alignment algorithm, it achieves a better performance than the best strategies of those existing metrics in recovering motifs in a database, grouping relevant motifs, merging sub-motifs or redundant motifs, or digging true motifs out of chaos.
This methodology aims to assist the prediction of probable crystal structures from the vibrational spectra, through the identification of the most relevant motifs in the potential energy landscape of the crystal.
The relevant motifs were C-X-H-Xn-C-X2-H, corresponding to the N-terminal Rieske [2Fe 2S] center, and D-X2-H-X3,4-H-Xn-D, corresponding to the C-terminal conserved 2-His-1-carboxylate motif preceded by a conserved aspartate (involved in electron transport), as these are the functional prerequisites of ROs (Jiang et al. 1996; Parales 2003).
To use these programs to predict the targets of some TF, it was necessary to obtain the relevant motifs (in addition to the motif of this TF).
A multiple sequence alignment was carried out using MUSCLE [19] and the conservation patterns of the relevant motifs were inferred from the alignment.
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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