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RBPmap: a web server for mapping binding sites of RNA-binding proteins

机译:RBPmap:用于映射RNA结合蛋白结合位点的Web服务器

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摘要

Regulation of gene expression is executed in many cases by RNA-binding proteins (RBPs) that bind to mRNAs as well as to non-coding RNAs. RBPs recognize their RNA target via specific binding sites on the RNA. Predicting the binding sites of RBPs is known to be a major challenge. We present a new webserver, RBPmap, freely accessible through the website http://rbpmap.technion.ac.il/ for accurate prediction and mapping of RBP binding sites. RBPmap has been developed specifically for mapping RBPs in human, mouse and Drosophila melanogaster genomes, though it supports other organisms too. RBPmap enables the users to select motifs from a large database of experimentally defined motifs. In addition, users can provide any motif of interest, given as either a consensus or a PSSM. The algorithm for mapping the motifs is based on a Weighted-Rank approach, which considers the clustering propensity of the binding sites and the overall tendency of regulatory regions to be conserved. In addition, RBPmap incorporates a position-specific background model, designed uniquely for different genomic regions, such as splice sites, 5' and 3' UTRs, non-coding RNA and intergenic regions. RBPmap was tested on high-throughput RNA-binding experiments and was proved to be highly accurate.
机译:在许多情况下,基因表达的调节是通过与mRNA和非编码RNA结合的RNA结合蛋白(RBP)进行的。 RBP通过RNA上的特异性结合位点识别其RNA靶标。预测RBP的结合位点是一项重大挑战。我们提供了一个新的Web服务器RBPmap,可通过http://rbpmap.technion.ac.il/网站免费访问该服务器,以准确预测和映射RBP结合位点。尽管RBPmap也支持其他生物,但RBPmap是专门为在人,小鼠和果蝇果蝇基因组中作图而绘制的。 RBPmap使用户可以从大型的实验定义基元数据库中选择基元。另外,用户可以提供任何感兴趣的主题,以共识或PSSM的形式给出。映射基序的算法基于加权秩方法,该方法考虑了结合位点的聚类倾向和需要保守的调节区域的总体趋势。此外,RBPmap结合了针对特定位置的背景模型,该模型专门针对不同的基因组区域(例如剪接位点,5'和3'UTR,非编码RNA和基因间区域)而设计。 RBPmap在高通量RNA结合实验中进行了测试,并被证明是高度准确的。

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