Multiple sequence alignment visualization method based on image processing

Abstract

The invention relates to a multiple sequence alignment visualization method based on image processing. The method includes following steps: S1, taking multiple amino acid sequences generated by a multiple sequence alignment algorithm as input; S2, respectively defining different colors for different types of amino acids, and performing color conversion on the amino acid sequences; S3, combining with image conversion to enable each amino acid in the amino acid sequences to correspond to one pixel in images, to enable color of each pixel to correspond to that of the corresponding amino acid andto convert multiple one-dimensional amino acid sequences into two-dimensional colored images; S4, utilizing an image segmentation method based on edge detection to segment converted images, and presenting segmented images to a user.

Description

technical field [0001] The present invention relates to the technical field of bioinformatics, and more specifically, to a method for visualizing multiple sequence alignments based on image processing. Background technique [0002] In recent years, with the development of the Human Genome Project worldwide, the draft of the Human Genome has been basically completed, marking that the human exploration of life information has entered a new stage. At the same time, more and more data are available for the analysis of gene expression patterns, protein structures, and protein-protein interactions. The research focus of bioinformatics is mainly reflected in two aspects of genomics and proteomics. Specifically, starting from nucleic acid and protein sequences, the biological information of the structure and function expressed in the sequences is analyzed. The basic task of bioinformatics is to analyze various biological sequences, that is, to study new computer methods to obtain k...

AI Technical Summary

Problems solved by technology

[0018] The purpose of the present invention is to solve the technical defect that users cannot obtain more accurate or useful information from images with a single color to represent the existence of amino acids or bases in the prior art, and to provide a multiple sequence comparison based on image processing For the visualization method, this method converts the one-dimensional amino acid sequence into a color image, and combines the edge detection-based image segmentation algorithm in the image processing technology to segment the image. Users can intuitively judge how many Homology, conserved regions, and variable regions between sequences are convenient for the analysis of sequence comparison results and for users to judge directly, without the need to judge based on complex modeling or understanding the biological meaning of sequences, to a certain extent Reduced burden on users

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