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Weeder Web:在一组共调控基因的序列中发现转录因子结合位点

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

作者信息

Pavesi Giulio, Mereghetti Paolo, Mauri Giancarlo, Pesole Graziano

机构信息

D.I.Co, University of Milan, Milan, Italy.

出版信息

Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W199-203. doi: 10.1093/nar/gkh465.

Abstract

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.

摘要

现代分子生物学面临的最大挑战之一是理解调控基因表达的复杂机制。这一过程中的一个基本步骤需要对在转录和转录后水平调控基因表达中起关键作用的调控基序进行表征。特别是,转录是由转录因子与其相应结合位点的相互作用来调节的。Weeder Web是Weeder的网络界面,Weeder是一种用于在一组相关调控DNA序列中自动发现保守基序的算法。所发现的基序反过来可能是某些转录因子结合位点的实例。除了提供对该程序的访问外,该界面的设计还使得程序本身的使用尽可能简单,并且几乎不需要关于待发现基序的长度和保守性的先验知识。事实上,该界面会自动启动程序的不同运行,每次运行使用不同的参数,并为用户提供结果的总体总结,以及根据基序的统计显著性和一些简单考量给出哪些基序看起来更有趣的“建议”。通过点击“工具”链接,可在网址www.pesolelab.it上访问该网络界面。

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