Transcriptome data automatic analysis method based on next-generation sequencing

Abstract

The invention relates to an automatic transcriptome data analysis method based on next-generation sequencing. The automatic analysis method comprises the following steps: preprocessing original sequencing data, controlling the quality of the preprocessed sequencing data, comparing the sequencing data after quality control, detecting and analyzing variation based on a comparison result, reassembling and quantitatively analyzing based on the comparison result, and selecting differentially expressed genes based on a quantitative result. Annotation enrichment analysis is carried out based on the differential expression gene list; and PDF and Html reports are generated. According to the method, analysis is started from transcriptome original sequencing data, and all data is automatically processed and analyzed until a final data analysis report is generated; by means of the one-key automatic analysis, complicated manual operation and errors caused by the complicated manual operation are avoided, a PDF edition report and an Html webpage edition report are provided, and the requirement for checking analysis results in different scenes can be better met; meanwhile, the method provided by the invention is automatically controlled by a program, and more efficient analysis software is used, so that the data analysis and processing link is simplified, the labor cost is reduced, and the data processing and analysis efficiency is improved.

Description

technical field [0001] The invention relates to an automatic analysis method of transcriptome data based on next-generation sequencing. Background technique [0002] The research object of transcriptome sequencing is the sum of all RNAs that can be transcribed by a specific cell in a certain functional state, mainly including mRNA and non-coding RNA. Transcriptome research is the basis and starting point for the study of gene function and structure. Through next-generation high-throughput sequencing, it is possible to comprehensively and quickly obtain almost all transcript sequence information of a specific tissue or organ in a certain state, which has been widely used In basic research, clinical diagnosis and drug development and other fields. [0003] With the marketization of next-generation sequencing platforms, RNA sequencing (RNA sequenclng, RNA-Seq) technology has become one of the important means of transcriptomics research. This technology uses a new generation o...

AI Technical Summary

Problems solved by technology

[0006] At present, there is still a lack of a comprehensive, reasonable, efficient, and highly automated transcriptome sequencing data analysis method in China. Therefore, an automated transcriptome data analysis method based on next-generation sequencing is designed, which is suitable for high-pass transcriptome analysis of multiple samples. The analysis of quantitative sequencing data improves the automation of data analysis and processing. It has various functions and strong applicability, and has practical significance and good application prospects.

Images