共查询到20条相似文献,搜索用时 31 毫秒
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A new method for recognizing eukaryotic gene promoters was based on their partition and on analysis of correlations of dinucleotide frequencies for each individual fragment. The method was used to recognize the TATA-containing and TATA-less promoters of Drosophila melanogastergenes. The dinucleotide context was correlated with conformational and physicochemical DNA properties in promoter fragments. Mean values of several parameters proved to dramatically change on transition from the TATA box to its GC-rich flanks. In TATA-less promoters, specific properties were revealed in the DPE region. The method was employed in a promoter recognition program, which is available through Internet. 相似文献
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Weimou Zheng 《基因组蛋白质组与生物信息学报(英文版)》2003,1(1)
The strongest signal of plant promoter is searched with the model of single motif with two types. It turns out that the dominant type is the TATA-box. The other type may be called TATA-less signal, and may be used in gene finders for promoter recognition. While the TATA signals are very close for the monocot and the dicot, their TATA-less signals are significantly different. A general and flexible multi-motif model is also proposed for promoter analysis based on dynamic programming. By extending the Gibbs sampler to the dynamic programming and introducing temperature, an efficient algorithm is developed for searching signals in plant promoters. 相似文献
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Finding signals for plant promoters 总被引:2,自引:0,他引:2
Zheng W 《基因组蛋白质组与生物信息学报(英文版)》2003,1(1):68-73
The strongest signal of plant promoter is searched with the model of single motif with two types. It turns out that the dominant type is the TATA-box. The other type may be called TATA-less signal, and may be used in gene finders for promoter recognition. While the TATA signals are very close for the monocot and the dicot, their TATA-less signals are significantly different. A general and flexible multi-motif model is also proposed for promoter analysis based on dynamic programming. By extending the Gibbs sampler to the dynamic programming and introducing temperature, an efficient algorithm is developed for searching signals in plant promoters. 相似文献
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Ohbayashi T Shimada M Nakadai T Wada T Handa H Tamura T 《Nucleic acids research》2003,31(8):2127-2133
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