Visualization of genomic data with the Hilbert curve
Visualization of genomic data with the Hilbert curve
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DOI：
10.1093/bioinformatics/btp152
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发表时间：
2009-05-15
期刊：
影响因子：
5.8
通讯作者：
Anders, Simon
中科院分区：
文献类型：
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作者：
Anders, Simon
在许多基因组研究中，一种与基因组置依依赖性数据一起工作，e。 g。芯片芯片或芯片序列分数。使用传统的工具，很难对数据有很好的感觉，尤其是功能的分布。本文认为，所谓的希尔伯特曲线可视化可以补充基因组浏览器，并有助于进一步了解数据的结构。通过不同用例的示例证明了这一点。提出了一个称为Hilbertvis的开源应用程序，允许用户生产并交互探索此类图。
In many genomic studies, one works with genome-positiondependent data, e. g. ChIP-chip or ChIP-Seq scores. Using conventional tools, it can be difficult to get a good feel for the data, especially the distribution of features. This article argues that the so-called Hilbert curve visualization can complement genome browsers and help to get further insights into the structure of one's data. This is demonstrated with examples from different use cases. An open-source application, called HilbertVis, is presented that allows the user to produce and interactively explore such plots.