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71 The second strategy consists in using motif recognition algorithms that integrate additional information to guide the motif search.
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Efforts to apply motif-recognition algorithms (MEME [86], TEIRESIAS [87]) to these proteins failed to yield statistically significant results.
This suggests that the method is broadly applicable even with a very crude motif-recognition algorithm and no background filter.
Employing most available computational algorithms, mainly motif or domain recognition algorithms, we set up to develop an online proteome annotation system with integrated proteome annotation data to complement existing resources.
The binary nature of array-based assays allows data to be analyzed usefully with algorithms associated with motif recognition, such as sequence logo analyses.
The binary nature of array-based assays allows the data to be analyzed usefully with algorithms associated with motif recognition, such as sequence logo analysis.
Pattern recognition algorithms (e.g., MEME or the Gibbs Sampler) typically identify motifs as the patterns that most significantly stand out from the background implied by the surrounding sequence.
In addition, sequence pattern recognition algorithms MEME, MDScan and Weeder were used to identify upstream regulatory motifs for all SRRP components.
To visualize phylogenetic similarity of the SSR motif distribution, data were analyzed by self organizing map (SOM) using som_pack (ver. 3.1) [ 60], which utilizes unsupervised pattern recognition algorithms.
Recognition algorithms fall under two categories.
Online, both Facebook and Google have been on the forefront of developing facial recognition algorithms.
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