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首页> 外文期刊>BMC Bioinformatics >HeliCis: a DNA motif discovery tool for colocalized motif pairs with periodic spacing
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HeliCis: a DNA motif discovery tool for colocalized motif pairs with periodic spacing

机译:Helicis:用于分层主题对的DNA主题发现工具,具有周期间距

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Background Correct temporal and spatial gene expression during metazoan development relies on combinatorial interactions between different transcription factors. As a consequence, cis -regulatory elements often colocalize in clusters termed cis- regulatory modules. These may have requirements on organizational features such as spacing, order and helical phasing (periodic spacing) between binding sites. Due to the turning of the DNA helix, a small modification of the distance between a pair of sites may sometimes drastically disrupt function, while insertion of a full helical turn of DNA (10–11 bp) between cis elements may cause functionality to be restored. Recently, de novo motif discovery methods which incorporate organizational properties such as colocalization and order preferences have been developed, but there are no tools which incorporate periodic spacing into the model. Results We have developed a web based motif discovery tool, HeliCis, which features a flexible model which allows de novo detection of motifs with periodic spacing. Depending on the parameter settings it may also be used for discovering colocalized motifs without periodicity or motifs separated by a fixed gap of known or unknown length. We show on simulated data that it can efficiently capture the synergistic effects of colocalization and periodic spacing to improve detection of weak DNA motifs. It provides a simple to use web interface which interactively visualizes the current settings and thereby makes it easy to understand the parameters and the model structure. Conclusion HeliCis provides simple and efficient de novo discovery of colocalized DNA motif pairs, with or without periodic spacing. Our evaluations show that it can detect weak periodic patterns which are not easily discovered using a sequential approach, i.e. first finding the binding sites and second analyzing the properties of their pairwise distances.
机译:背景技术在甲烷开发期间的校正时间和空间基因表达依赖于不同转录因子之间的组合相互作用。因此,CIS -Regulatory元素通常在称为CIS-调节模块中的集群中的群化。这些可能具有关于组织特征的要求,例如间距,顺序和螺旋相位(周期性间隔)之间的结合位点之间。由于DNA螺旋的转弯,一对位置之间的距离的小修改有时可能会急剧地破坏功能,同时插入顺式元素之间的DNA(10-11bp)的全螺旋转弯可能导致恢复功能。最近,已经开发了德诺诺特的主题发现方法,这些方法包括集分级化和订单偏好等组织属性,但没有工具将周期性间隔合并到模型中。结果我们开发了一种基于Web的基于Web的主题发现工具,它具有灵活的型号,允许使用周期间距的图案进行Novo检测图案。取决于参数设置,它还可以用于发现与已知或未知长度的固定间隙分开的周期性或图案的结截度或图案。我们展示了模拟数据,即它可以有效地捕获分层化和周期间距的协同作用,以改善弱DNA主题的检测。它提供了一种简单的使用Web界面,它交互式可视化当前设置,从而使其易于理解参数和模型结构。结论Helicis提供了简单有效的Colocalized DNA主题对的Novo Discovery,有或没有定期间隔。我们的评估表明它可以检测使用顺序方法不容易发现的弱周期模式,即首先找到绑定站点和第二分析其成对距离的性质。

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