Pavesi Giulio, Pesole Graziano
University of Milan, Milan, Italy.
Curr Protoc Bioinformatics. 2006 Oct;Chapter 2:Unit 2.11. doi: 10.1002/0471250953.bi0211s15.
One of the greatest challenges facing modern molecular biology is the understanding of the complex mechanisms regulating gene expression. A fundamental step in this process requires the characterization of motifs involved 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 is a software package freely available for non commercial users as a stand-alone or Web-based application for the automatic discovery of conserved motifs in a set of related DNA sequences from coregulated genes. The motifs found are likely to represent instances of binding sites for some common transcription factor regulating the genes of the set. The program has been designed to make its usage as simple as possible and to require very little prior knowledge about the length and conservation of the motifs to be found.
现代分子生物学面临的最大挑战之一是理解调节基因表达的复杂机制。这一过程中的一个基本步骤需要对参与转录和转录后水平基因表达调控的基序进行表征。特别是,转录是通过转录因子与其相应结合位点的相互作用来调节的。Weeder是一个软件包,非商业用户可以免费获得,它可以作为独立应用程序或基于网络的应用程序,用于自动发现一组来自共调控基因的相关DNA序列中的保守基序。所发现的基序很可能代表了一些共同调节该组基因的转录因子结合位点的实例。该程序的设计目的是使其使用尽可能简单,并且对要发现的基序的长度和保守性几乎不需要先验知识。