Method for predicting threshold of phellinus igniarius protein region based on power spectrum

Abstract

The invention provides a method for predicting threshold of a phellinus igniarius protein region based on power spectrum. The method includes the following steps: inserting n nucleotide sequences corresponding to the published phellinus igniarius and its homologous protein acquired from a database into a background sequence to generate a gene sequence; performing spectral prediction on the gene sequence to obtain a Fourier power spectrum; performing denoising processing on the spectrum by a low-frequency filter; obtaining the current optimal threshold of each section of sequence by comparing the spectral values; performing multiple times of iterative sampling on the sequence; and calculating the confidence interval to obtain an optimal threshold. The algorithm for predicting threshold of aphellinus igniarius protein region based on power spectrum ensures the accuracy of threshold selection, reduces the error impact of random sequence interception, and improves the accuracy of phellinus igniarius gene prediction.

Description

Technical field

[0001] The invention relates to the fields of gene power spectrum, gene prediction and spectrum threshold, and in particular to a method for predicting the threshold of Phellinus igniarius protein region based on power spectrum. Background technique

[0002] With the development of modern gene sequencing technology, in the face of a massive increase in gene sequences, how to use various existing technical means to obtain useful information from a large amount of gene data is the main problem currently facing, so data mining technology research and algorithm tools More and more attention is paid to the development of. As for Phellinus igniarius, a fungus with extremely high medicinal value, due to the technical blockade abroad, relevant domestic research has just started. Therefore, research at the genetic level is important for the molecular mechanism of the composition of Phellinus igniarius and the optimization of the experimental environment to increase product...

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