Bioinformatics data analysis and result quality control automation method and system

Abstract

The invention discloses an automatic method for biological information data analysis and result quality control, including data downloading, inputting or obtaining standard sample detection information, traversing unanalyzed standard samples, putting them into the waiting queue of the system, analyzing standard samples, analyzing result quality control, and uploading Analyze files. The invention also discloses an automatic system for biological information data analysis and result quality control, including a data download unit, a detection information unit, an unanalyzed standard sample unit, a waiting queue unit, a biological information analysis unit, a quality control unit, and an upload analysis file unit, backup unit. The invention can realize the flow management of biological information analysis, automatically obtain the detection information after the biological information sequencing data is downloaded, add qualified samples to the waiting queue, eliminate the occupation of biological information cloud node resources for unqualified samples analysis, update the analysis status in time, and can be found in time Analyze the problem, correct it in time, and control the quality of the analysis result. The unqualified analysis can be screened out, and the analysis result can be automatically uploaded to the standard sample that passes the analysis result.

Description

technical field [0001] The invention relates to the technical field of comprehensive management based on cloud computing, in particular to an automatic method and system for biological information data analysis and result quality control. Background technique [0002] With the rapid advancement of sequencing technology, gene sequencing institutions, medical research institutes, and biological companies have generated massive amounts of biological sequencing data. However, these raw sequencing data cannot be used directly, and it is necessary to use bioinformatics analysis technology to perform computational mining processing on these data in order to generate valuable scientific research information or association information of disease treatment drugs, as well as clear and easy-to-lead conclusion result information . [0003] Bioinformatics is the storage and computational analysis of biological data using computers as the main research tool in life science research. Faced...

AI Technical Summary

Problems solved by technology

[0004] Bioinformatics analysis involves a variety of sequencing data. In the current technology, the analysis of bacterial sequencing data, fungal sequencing data, full-length transcriptome sequencing data with parameters and full-length transcriptome sequencing data without parameters is generally carried out on separate bioinformatics analysis platforms. To analyze all these data needs to build different analysis platforms on the computer, and each analysis platform involves multiple analysis software and programs, because the analysis software and programs are built into each analysis platform, resulting in analysis software and programs. There are problems of repeated installation and waste of resources in each analysis platform, and when the computer is used for data processing, unsuitable waste of resources will occupy the memory space of the computer and reduce its running speed, resulting in slow analysis process and low analysis efficiency. Moreover, users When conducting bioinformatics analysis, different sequencing data need to use different platforms, and the user experience is poor

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