zPicture: Dynamic alignment and visualization tool for analyzing conservation profiles

被引:109
作者
Ovcharenko, I
Loots, GG
Hardison, RC
Miller, W
Stubbs, L [1 ]
机构
[1] Lawrence Livermore Natl Lab, Genome Biol Div, Livermore, CA 94550 USA
[2] Penn State Univ, Dept Biochem & Mol Biol, University Pk, PA 16802 USA
[3] Penn State Univ, Dept Comp Sci & Engn, University Pk, PA 16802 USA
[4] Penn State Univ, Dept Biol, University Pk, PA 16802 USA
关键词
D O I
10.1101/gr.2129504
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Comparative sequence analysis has evolved as all essential technique for identifying functional coding and noncoding elements conserved throughout evolution. Here, we introduce zPicture, all 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, ill 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.
引用
收藏
页码:472 / 477
页数:6
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