PResearch on Biological Species Improvement Technology Based on Genetic Recombineering

Abstract

Gene recombination is an essential feature in biological evolution. Genetic recombination is an essential mode of species improvement in microorganisms, plants, and animals. A chromosome consists of a sequence of genes, and a genome is a collection of chromosomes. This paper uses computer signal recognition technology to discover DNA base sequences in gene recombination. Further, the paper uses a filtered deep learning algorithm to locate the starting fragment of gene recombination. In this way, the paper has a predictive model of genetic recombination. Finally, this paper uses the algorithm model to predict the genetic recombination fragments in biological species improvement. The research found that the algorithm's accuracy proposed in this paper is 98.5%.