Enteric microorganism detection data analysis method, automatic interpretation system and medium

A technology for gut microbes and detection data, applied in the field of bioinformatics analysis, can solve the problems that gut microbe information analysis technology is not suitable for process-based and batch operations, incomplete analysis results, etc., to achieve convenient process-based and batch operations, The analysis method is scientific and accurate, and the workload is small.

Pending Publication Date: 2020-07-28
康美华大基因技术有限公司
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  • Application Information

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Problems solved by technology

[0006] In view of the above technical problems, the purpose of the present invention is to provide a data analysis method for intestinal microorganism detection, an automatic interpretation system ...

Method used

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  • Enteric microorganism detection data analysis method, automatic interpretation system and medium
  • Enteric microorganism detection data analysis method, automatic interpretation system and medium
  • Enteric microorganism detection data analysis method, automatic interpretation system and medium

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Experimental program
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Embodiment

[0054] Please refer to Figure 1-6 As shown, a method for analyzing data of gut microbiome detection, please refer to figure 1 shown, including:

[0055] Step S10: obtaining the user's gut microbe sequencing data;

[0056] In this step, the user's gut microbial sequencing data can be obtained by uploading or downloading the user's gut microbial sequencing data; in addition, when acquiring the user's gut microbial sequencing data, the user's basic information can also be obtained at the same time, according to the user's questionnaire. Basic user information that may be required to prepare the analysis process.

[0057] Step S20: extracting sample data from the sequencing data and filtering the sample data;

[0058] Specifically, the steps of filtering the sample data include:

[0059] Remove low-quality sequences in the original input file of the sample data, and / or filter host contamination data in the sample data; the low-quality sequences include insufficient length, o...

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Abstract

The invention discloses an enteric microorganism detection data analysis method, an automatic interpretation system and a medium. The method comprises the following steps: acquiring enteric microorganism sequencing data of a user; extracting sample data from the sequencing data, and filtering the sample data; performing species annotation classification and function annotation classification on the filtered sequencing data to obtain an annotation result; performing conventional analysis on the annotation result, wherein the conventional analysis comprises diversity analysis and probiotics content and pathogenic bacteria content analysis; and obtaining a flora function and disease association database, and based on the annotation result, automatically interpreting the conventional analysisresult according to the flora function and disease association database. According to the method, analysis and interpretation can be automatically executed, so that the working pressure is reduced, the generated analysis results are diversified in form and good in readability, the requirements of users are met, process and batch operations are conveniently carried out, and the workload of manual interpretation is small, visual and convenient.

Description

technical field [0001] The invention relates to the technical field of biological information analysis, in particular to a data analysis method for intestinal microorganism detection, an automatic interpretation system and a medium. Background technique [0002] With the development of the Human Microbiome Project (HMP) and Human Intestinal Metagenomics (MetaHIT) projects, more and more studies have shown that the growth and development, nutritional metabolism and health levels of the human body are not only controlled by their own genes (host genome), It is also influenced by the commensal microorganisms in the human body, especially the intestinal flora. There are many diseases and conditions, such as colorectal cancer, obesity, diabetes, autism, drug reactions, etc., that are closely related to the gut microbiota. [0003] The emergence of large-scale sequencing technology provides a powerful tool for the study of intestinal flora. At present, there are two main methods...

Claims

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Application Information

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IPC IPC(8): G16B30/00G16B40/30G16B50/00G16H10/40
CPCG16B30/00G16B40/30G16B50/00G16H10/40
Inventor 周勇杨超黄依蓝夏卫林晋州
Owner 康美华大基因技术有限公司
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