一种新型的基于图像的DNA序列可视化模型

传统的DNA序列可视化模型局限于短DNA序列的可视化,并且缺乏对可视化图形的通用分析方法。因此,文章提出了一种基于图像的DNA序列可视化模型,这种模型通过将一维的DNA序列转换为二维的256色的灰度图像,可以实现长DNA序列的可视化,具有很高的空间紧密性。借助成熟的图像处理方法来分析DNA可视化图像,可以获取原始DNA序列的规模、4种不同碱基的分布、无序程度等重要信息。通过比较不同DNA序列的可视化图像,可以获取这些序列的相似性信息。

A novel visual modal of DNA sequence based on image

Traditional visual modals of DNA sequence are limited to short DNA sequences and lack a general analyzing method of the visual graph. We put forward a novel visual modal of DNA sequence that transforms one dimensional DNA sequence into two dimensional 256-color gray-scale image, making the visualization of long DNA sequence possible. We can get the scale, distribution of four different bases, disorder of the original DNA sequence by analyzing the visual image of DNA sequence with the sophisticated image processing methods. We can also get the similarity between different DNA sequences by comparing their visual images.