Abstract
Unsigned reverse genome rearrangement is an important part of bioinformatics research, which is widely used in biological similarity and homology analysis, revealing biological inheritance, variation, and evolution. Branch and bound, simulated annealing, and other algorithms in unsigned reverse genome rearrangement algorithm are rare in practical application because of their huge time and space consumption, and greedy algorithms are mostly used at present. By deeply analyzing the domain of unsigned reverse genome rearrangement algorithm based on greedy strategy (unsigned reverse genome rearrangement algorithm (URGRA) based on greedy strategy), the domain features are modeled, and the URGRA algorithm components are interactively designed according to the production programming method. With the support of the PAR platform, the algorithm component library of the URGRA is formally realized, and the concrete algorithm is generated by assembly, which improves the reliability of the assembly algorithm.
Highlights
With the development of biotechnology, biological information data is growing explosively
Bioinformatics covers the comprehensive application of biology, computer science, and mathematics. rough the collection, processing, storage, dissemination, analysis, and interpretation of biological information, the biological significance of a large amount of data is clarified and understood
Deletion refers to the deletion of a continuous gene on a chromosome, and inversion refers to the sequence reversal of a continuous gene on a chromosome
Summary
With the development of biotechnology, biological information data is growing explosively. Rough the collection, processing, storage, dissemination, analysis, and interpretation of biological information, the biological significance of a large amount of data is clarified and understood. A chromosome is composed of a gene sequence, and the genome is a collection of chromosomes [1]. At the level of a single gene, genetic sequences evolve by editing these characters, so edit distance is a useful measure of evolutionary distance. At the chromosomal level, genetic sequences are mainly evolved by global genome rearrangements. Translocation refers to the exchange of two contiguous gene subsequences in a chromosome. The only difference between the gene sequences of the two most famous bacteria, Escherichia coli and Salmonella typhimurium, is the inversion of a subsequence of the chromosome sequence [2]. Genus Drosophila, inversion can reflect the differences between species and within species
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