Metagenome data analysis method based on next-generation sequencing technology

Abstract

The invention discloses a metagenome data analysis method based on a next-generation sequencing technology, which comprises the following steps of: (1) carrying out quality control on original sequencing data to obtain clean reads; (2) performing species annotation on the clean reads subjected to the quality control; (3) performing statistical analysis on the sample diversity based on a species abundance matrix; (4) performing statistical analysis on species with significant differences among sample groups based on the species abundance matrix; (5) splicing and assembling the clean reads to obtain a contigs sequence; (6) packaging the contigs obtained by splicing and assembling into boxes to obtain bins; (7) carrying out gene annotation on the bins subjected to boxing; (8) performing statistical analysis on the genes with significant differences among the sample groups based on the gene abundance matrix; and (9) based on the gene annotation result, performing function and species annotation on the sequence. A whole process from metagenome next-generation sequencing data processing to species composition analysis, gene composition analysis and function annotation is provided, an accurate analysis result is provided for researchers, and the metagenomics problem is comprehensively analyzed.

Description

technical field [0001] The present invention generally relates to the technical field of next-generation sequencing, and specifically relates to a method for analyzing metagenomic data based on next-generation sequencing technology. Background technique [0002] In 1977, Frederick Sanger and Walter Gilbert invented the first sequencer and used it to determine the first genome sequence, phage X174, with a total length of 5375 bases. From then on, human beings gained the ability to explore the genetic nature of life , the research of life science has entered the era of genomics. The sequencing method invented by Sanger is called the first-generation sequencing technology. This technology is still widely used until now, but it can only obtain a sequence with a length of 700-1000bp at a time. The throughput is too low, resulting in cost in many cases. Too high, unable to meet the urgent needs of modern scientific development for the acquisition of biological gene sequences. Hi...

AI Technical Summary

Problems solved by technology

Although the sequencing throughput of the second-generation sequencing technology has been greatly increased, the length of a single sequence obtained by it is too short, only 200-500bp. To obtain accurate gene sequence information, it depends on high sequencing coverage and accurate splicing technology

[0004] Due to the limited principle of sequencing technology, the original sequence of next-generation sequencing usually has shortcomings such as short length and possible contamination. How to effectively process the original sequencing data to obtain a complete and accurate genome sequence, and how to link the sequencing data with biological principles A problem that has been concerned and tried to solve in the field of bioinformatics

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