RNA-seq online analysis report system and generation method thereof

Abstract

The invention discloses an RNA-seq online analysis report system and a generation method thereof. The system comprises a sample relation module, a gene sieving module, a differential gene analysis module and a basic function analysis module. The sample analysis module is used for grouping selected samples and automatically analyzing the relation of the selected samples; the gene sieving module isused for sieving genes according to input gene names or functions, and sequence information of the genes is obtained according to the IDs of the genes; the differential gene analysis module is used for conducting expression quantity difference analysis on the genes of the compared groups of samples and outputting differential analysis results; the basic function analysis module is used for conducting GO enrichment analysis, KEGG enrichment analysis and Venn diagram analysis on a selected gene group or a selected differential analysis result set. Through the RNA-seq online analysis report system, staff without basic programming can also conduct RNA-seq online data analysis, the workload of biological information analyzers is reduced greatly, and working efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of biological information analysis, in particular to an RNA-seq online analysis report system and a generating method thereof. Background technique [0002] Since the completion of the Human Genome Project, the cost of gene sequencing has been decreasing at the rate of "Moore's Law". Gene sequencing is more and more widely used in humans, covering whole genome sequencing, exome sequencing, etc. at the DNA level, RNA-Seq, circular RNA sequencing, etc. at the RNA level, and metagenomic sequencing, Meta 16S sequencing, etc. at the microbial level. . With the rapid development of next-generation high-throughput sequencing technology, RNA-seq sequencing technology based on high-throughput sequencing technology has become an important technology for the study of RNA and is widely used. Simultaneous sequencing of samples to obtain expression differences between samples, etc., is used in basic research, clinical r...

AI Technical Summary

Problems solved by technology

[0003] However, the raw data generated by gene sequencing cannot reflect any valuable information and must be analyzed and interpreted by professionals. How to dig out valuable core information from massive sequencing data is the key problem facing researchers at present

At present, most of the biological information analysis results of high-throughput sequencing such as RNA-Seq sequencing are presented in the form of static conclusion reports, and the data display is not convenient for real-time analysis and key data mining

When researchers are dissatisfied with the analysis results or want to modify them, if they have no basis for bioinformatics analysis, they need bioinformatics analysts to re-analyze the data according to their individual needs, which increases the workload of data analysis and is time-consuming and laborious.

When faced with a large amount of sequencing data, adjusting the analysis results in this way also greatly reduces the work efficiency of bioinformatics analysts

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