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Finding signals for plant promoters / 基因组蛋白质组与生物信息学报·英文版
Genomics, Proteomics & Bioinformatics ; (4): 68-73, 2003.
Article in English | WPRIM | ID: wpr-339522
ABSTRACT
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.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Plants / Algorithms / Software / Models, Statistical / TATA Box / Promoter Regions, Genetic / Genes, Plant / Computational Biology / Amino Acid Motifs / Genomics Type of study: Diagnostic study / Prognostic study / Risk factors Language: English Journal: Genomics, Proteomics & Bioinformatics Year: 2003 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Plants / Algorithms / Software / Models, Statistical / TATA Box / Promoter Regions, Genetic / Genes, Plant / Computational Biology / Amino Acid Motifs / Genomics Type of study: Diagnostic study / Prognostic study / Risk factors Language: English Journal: Genomics, Proteomics & Bioinformatics Year: 2003 Type: Article