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Finding patterns in DNA sequences through visualization with symbolic scatter plots.

机译:通过使用符号散点图进行可视化查找DNA序列中的模式。

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摘要

Visualization is frequently mentioned as a technique for analyzing large amounts of data. It has been widely anticipated for many years that visualization would become a major tool for the analysis of rapidly growing genomic databases. However, beyond the dot plot which was introduced in 1981 there have been few successful attempts at visualizing this data.;In this thesis a new technique for visualizing DNA sequences, the symbolic scatter plot, is introduced. It is shown how the symbolic scatter plot addresses the problems of (1) finding complex patterns in DNA sequences and (2) the comparison of sequences. Second, the symbolic scatter plot is analyzed in terms of human visual perception---particularly in terms of Gestalt theory and pre-attentive visual processing. Third, examples of how specific pre-attentive visual cues can be manipulated or added to find motifs and visualize information content (i.e. entropy) are presented. Fourth, the practicality of symbolic scatter plots is demonstrated by using them to visualize and compare the human and chimpanzee genes responsible for Huntington's disease.
机译:经常提到可视化作为一种​​分析大量数据的技术。多年来,人们一直普遍认为可视化将成为分析快速增长的基因组数据库的主要工具。但是,除了1981年引入的点图外,几乎没有成功地可视化此数据。;本文提出了一种可视化DNA序列的新技术,即符号散布图。它显示了符号散点图如何解决以下问题:(1)在DNA序列中发现复杂的模式,以及(2)序列比较。其次,根据人类的视觉感知来分析符号散布图,尤其是根据格式塔理论和注意力集中的视觉处理。第三,给出了如何操纵或添加特定的注意前视觉提示以找到主题并可视化信息内容(即熵)的示例。第四,通过使用符号散点图可视化和比较造成亨廷顿氏病的人类和黑猩猩基因,证明了其实用性。

著录项

  • 作者

    Cox, David N.;

  • 作者单位

    North Carolina State University.;

  • 授予单位 North Carolina State University.;
  • 学科 Biology Bioinformatics.;Computer Science.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 139 p.
  • 总页数 139
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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