Ovcharenko Ivan, Loots Gabriela G, Hardison Ross C, Miller Webb, Stubbs Lisa
Energy, Environment, Biology and Institutional Computing, Lawrence Livermore National Laboratory, Livermore, California 94550, USA.
Genome Res. 2004 Mar;14(3):472-7. doi: 10.1101/gr.2129504.
Comparative sequence analysis has evolved as an essential technique for identifying functional coding and noncoding elements conserved throughout evolution. Here, we introduce zPicture, an interactive Web-based sequence alignment and visualization tool for dynamically generating conservation profiles and identifying evolutionarily conserved regions (ECRs). zPicture is highly flexible, because critical parameters can be modified interactively, allowing users to differentially predict ECRs in comparisons of sequences of different phylogenetic distances and evolutionary rates. We demonstrate the application of this module to identify a known regulatory element in the HOXD locus, in which functional ECRs are difficult to discern against the highly conserved genomic background. zPicture also facilitates transcription factor binding-site analysis via the rVista tool portal. We present an example of the HBB complex when zPicture/rVista combination specifically pinpoints to two ECRs containing GATA-1, NF-E2, and TAL1/E47 binding sites that were identified previously as transcriptional enhancers. In addition, zPicture is linked to the UCSC Genome Browser, allowing users to automatically extract sequences and gene annotations for any recorded locus. Finally, we describe how this tool can be efficiently applied to the analysis of nonvertebrate genomes, including those of microbial organisms.
比较序列分析已发展成为一种重要技术,用于识别在整个进化过程中保守的功能性编码和非编码元件。在此,我们介绍zPicture,这是一种基于网络的交互式序列比对和可视化工具,用于动态生成保守图谱并识别进化保守区域(ECR)。zPicture具有高度的灵活性,因为关键参数可以交互式修改,这使得用户能够在不同系统发育距离和进化速率的序列比较中差异预测ECR。我们展示了该模块在识别HOXD基因座中一个已知调控元件方面的应用,在该基因座中,在高度保守的基因组背景下难以辨别功能性ECR。zPicture还通过rVista工具门户促进转录因子结合位点分析。我们给出了HBB复合体的一个例子,此时zPicture/rVista组合特别指出了两个含有GATA-1、NF-E2和TAL1/E47结合位点的ECR,这些位点先前被鉴定为转录增强子。此外,zPicture与UCSC基因组浏览器相连,允许用户自动提取任何记录基因座的序列和基因注释。最后,我们描述了如何将该工具有效地应用于非脊椎动物基因组的分析,包括微生物有机体的基因组。