Complexity charts can be used to map functional domains in DNA

Andrzej K. Konopka, John Owens
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引用次数: 33

Abstract

We measured local compositional complexity (LCC) of DNA sequences by calculating Shannon information content over mononucleotide frequencies. Eukaryotic DNA appeared to be “simpler” than bacterial DNA even at the level of short oligonucleotides. Moreover, different DNA functional domains displayed different compositional complexity in a systematic manner. In particular, the complexity of exon sequences was systematically higher than the complexity of corresponding introns. We therefore present examples of complexity charts (plots of complexity versus position in sequence) for pre-mRNA sequences from higher eukaryotes. By taking a window width of 100 nucleotides and a window step of 1 nucleotide, introns can be distinguished from exons in the majority of cases studied. Complexity charts of immunoglobulin variable regions allowed correct mapping of exons and introns in these sequences as well, a task was impossible with commercial programs available to date.

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复杂性图可用于绘制DNA的功能域
我们通过计算单核苷酸频率上的香农信息量来测量DNA序列的局部组成复杂度(LCC)。即使在短寡核苷酸水平上,真核生物DNA似乎也比细菌DNA“更简单”。此外,不同的DNA功能域系统地表现出不同的组成复杂性。特别是外显子序列的复杂性系统地高于相应的内含子的复杂性。因此,我们提出了来自高等真核生物的前mrna序列的复杂性图(复杂性与序列位置的图)的例子。通过窗宽为100个核苷酸,窗步为1个核苷酸,在大多数研究案例中都可以将内含子与外显子区分开来。免疫球蛋白可变区域的复杂性图表也允许这些序列中的外显子和内含子的正确映射,这是迄今为止可用的商业程序无法完成的任务。
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