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Computational methods that discover DNA motifs specifically binding proteins have been developed for over three decades, stimulated by the continuing progress in experimental methods for DNA-protein interaction profiling. Yet, the assessment of how well the computational models quantitatively reflect the binding specificities is still far from routine. Particularly, despite the availability of many advanced motif models, the position weight matrix, the traditional model of DNA binding specificity, remains the most commonly used approach, and it is still unclear if the more complex model outperforms positional weight matrices, and if so, to which degree.