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Weeder Web: discovery of transcription factor binding sites in a set of sequences from co-regulated genes

机译:Weeder Web:从共同调控的基因中发现一系列序列中的转录因子结合位点

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One of the greatest challenges that modern molecular biology is facing is the understanding of the complex mechanisms regulating gene expression. A fundamental step in this process requires the characterization of regulatory motifs playing key roles in the regulation of gene expression at transcriptional and post-transcriptional levels. In particular, transcription is modulated by the interaction of transcription factors with their corresponding binding sites. Weeder Web is a web interface to Weeder, an algorithm for the automatic discovery of conserved motifs in a set of related regulatory DNA sequences. The motifs found are in turn likely to be instances of binding sites for some transcription factor. Other than providing access to the program, the interface has been designed so to make usage of the program itself as simple as possible, and to require very little prior knowledge about the length and the conservation of the motifs to be found. In fact, the interface automatically starts different runs of the program, each one with different parameters, and provides the user with an overall summary of the results as well as some ‘advice' on which motifs look more interesting according to their statistical significance and some simple considerations. The web interface is available at the address www.pesolelab.it by following the ‘Tools' link.
机译:现代分子生物学面临的最大挑战之一是对调节基因表达的复杂机制的理解。该过程的基本步骤要求表征在转录和转录后水平上在基因表达的调控中起关键作用的调控基序。特别地,通过转录因子与其相应结合位点的相互作用来调节转录。 Weeder Web是Weeder的Web界面,Weeder是一种用于自动发现一组相关调控DNA序列中保守基序的算法。发现的基序又可能是某些转录因子结合位点的实例。除了提供对程序的访问之外,还对界面进行了设计,以使程序本身的使用尽可能简单,并且几乎不需要有关要找到的图案的长度和保留的先验知识。实际上,该界面会自动启动该程序的不同运行,每个运行具有不同的参数,并向用户提供结果的总体摘要,以及一些“建议”,根据其统计意义和一些“建议”,这些主题看起来会更有趣简单的考虑。通过点击“工具”链接,可以在网址www.pesolelab.it上访问Web界面。

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