Computational biology research data analysis and display method

Through the judgment of FPKM values and similarity thresholds, repeat sequences and individual variations in the transcriptome data are identified and eliminated, which solves the inaccuracy problem of differential analysis of gene expression and achieves more accurate data display.

CN120432018AActive Publication Date: 2025-08-05BURDOCK BIOTECHNOLOGY(DEZHOU) CO LTD
6 Cites 0 Cited by

Patent Information

Application Number
CN202510592559.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-09
Publication Date
2025-08-05
Estimated Expiration
2045-05-09

AI Technical Summary

Technical Problem

In traditional transcriptome data analysis, a large number of repeated or similar sequences in the genome make it difficult to distinguish short sequences from sources, resulting in unstable comparison results and reducing the accuracy of data on different gene expression levels.

Method used

FPKM values are used as standardized indicators, by comparing the differences between the available sequences and the reference genome, setting the difference threshold and similarity threshold, identifying abnormal repeat regions, eliminating the impact of repeated sequences, and making differential judgments when individual variations, and optimizing data display.

Benefits of technology

It improves the accuracy of gene expression differential analysis, corrects the errors caused by repeat sequences and individual variations, ensures that the FPKM value truly reflects the gene expression level, and provides reliable data support.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to the technical field of biological research data analysis, and discloses a computational biological research data analysis display method, which comprises the following steps of: extracting total RNA (Ribonucleic Acid) from biological tissues or cells, reversely transcribing the RNA into cDNA (Complementary Deoxyribonucleic Acid), constructing a library, and sequencing the library by utilizing a high-throughput sequencing platform to obtain a large number of short sequences. According to the method, the number of the short sequences mapped to the same genome coordinate interval is compared and the threshold value is judged, so that the abnormal repeated area can be effectively identified, whether the gene expression difference result is credible or not is clearly judged, and when the number of the abnormal sequences exceeds the preset repeated sequence threshold value, the influence operation of the repeated sequences is eliminated, and the accuracy of the gene expression difference result is improved. That is to say, completely identical and overlapped short sequences are removed under the condition that the FPKM value is relatively high, and the updating result is compared again, so that the problem of expression quantity distortion caused by repeated reckoning can be corrected.
Need to check novelty before this filing date? Find Prior Art