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Extraction of Biological Motifs by Gibbs Sampler from the Promoters of Homo Sapiens, Saccharomyces cerevisiae and Bacillus subtilis

机译:从Homo sapiens,酿酒酵母和枯草芽孢杆菌的启动子提取Gibbs采样器

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Microarray analysis provides us with new information about genes regulatory network, and many novel candidates of co-regulated genes are being identified. It is assumed that co-regulated genes share cis-acting regulatory motifs in their upstream regions, and it is still a big challenge for many bioinformaticians to develop an algorithm for their accurate elucidation. Although many motif extraction programs exist nowadays, and some of them have become more or less popular, molecular biologists still meet a serious problem when they have to decide which program should be used and how to maintain it for it works more efficiently. On the other hand, even a program was chosen by some reason, the User does not know how to evaluate the output if there is no a priori knowledge about the motif he/she is looking for, such as length, mismatches level, number per sequence, nucleotides composition.
机译:微阵列分析为我们提供有关基因监管网络的新信息,并识别了许多共调节基因的新候选者。假设共调节基因在其上游地区共享顺式作用调节基序,并且对于许多生物信息管理员来说,仍然是制定其准确阐明的算法的重要挑战。虽然现在存在许多主题提取程序,但其中一些是或多或少受欢迎的,分子生物学家仍然遇到严重的问题,当他们必须决定应该使用哪个程序以及如何更有效地维护它。另一方面,即使是一个程序也被某种原因选择了,如果没有关于他/她正在寻找的主题的先验知识,则用户不知道如何评估输出,例如长度,不匹配级别,每个数字序列,核苷酸组合物。

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