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Computing exact P-values for DNA motifs
Authors:Zhang Jing  Jiang Bo  Li Ming  Tromp John  Zhang Xuegong  Zhang Michael Q
Institution:State Key Laboratory of Intelligent Technology & System, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China.
Abstract:MOTIVATION: Many heuristic algorithms have been designed to approximate P-values of DNA motifs described by position weight matrices, for evaluating their statistical significance. They often significantly deviate from the true P-value by orders of magnitude. Exact P-value computation is needed for ranking the motifs. Furthermore, surprisingly, the complexity of the problem is unknown. RESULTS: We show the problem to be NP-hard, and present MotifRank, software based on dynamic programming, to calculate exact P-values of motifs. We define the exact P-value on a general and more precise model. Asymptotically, MotifRank is faster than the best exact P-value computing algorithm, and is in fact practical. Our experiments clearly demonstrate that MotifRank significantly improves the accuracy of existing approximation algorithms. AVAILABILITY: MotifRank is available from http://bio.dlg.cn. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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